In your car, at home, or at work — Bosch technology shapes many areas of life

Bosch

bosch

Robert Bosch GmbH (/bɒʃ/; German: [bɔʃ] ), commonly known as Bosch (styled BOSCH), is a German multinational engineering and technology company headquartered in Gerlingen, Baden-Württemberg, Germany. The company was founded by Robert Bosch in Stuttgart in 1886.

Bosch (company) - Wikipedia

Safe, efficient, intelligent and powerful solutions for factory automation, mobile applications, machinery applications and engineering. Benefit now!

Bosch Rexroth. WE MOVE. YOU WIN. | Bosch Rexroth

Safe, efficient, intelligent and powerful solutions for factory automation, mobile applications, plant construction and engineering. Secure advantages now!

Bosch Rexroth. WE MOVE. YOU WIN | Bosch Rexroth USA

How Tara Bosch went from recipe testing in a basement kitchen to selling SmartSweets for $360 million

Bosch Company Profile, Stock Price, News, Rankings | Fortune

The Bosch Group is a leading global supplier of technology and services.

Company | Bosch Global

The Bosch Group is a leading global supplier of technology and services. It employs roughly 429,000 associates worldwide (as of December 31, 2023). The company generated sales of 91.6 billion euros in 2023. Its operations are divided into four business sectors: Mobility, Industrial Technology, ...

Company - Bosch Media Service

Bosch | 1,364,636 followers on LinkedIn. The Bosch Group is a leading global supplier of technology and services. It employs roughly 428,000 associates worldwide (as of December 31, 2023). According to preliminary figures, the company generated sales of 91.6 billion euros in 2023.

Bosch | LinkedIn

Engineered to meet the needs of workers. Bosch Tools take care of the job and you.

Bosch Power Tools | Boschtools

Moving stories and inspiring interviews. Experience the meaning of &quot;invented for life&quot; by Bosch completely new. Visit our international website.

Invented for life | Bosch Global

For security and communications products, solutions and services, Bosch Security and Safety Systems is the preferred partner. Benefit from our worldwide expertise.

Home | Bosch Security and Safety Systems I Global

Invented for life: we want our products to spark enthusiasm, improve quality of life, and help conserve natural resources.

Home | Bosch in the USA

Bosch is America&#x27;s Most Trusted® Kitchen Brand 2024. Every detail of our home appliances is designed for quality and with the consumer in mind.

Bosch Home Appliances | Own the Kitchen #LikeABosch

Bosch Ltd, the Indian arm of German automotive supplier Robert Bosch GmbH, is looking to boost manufacturing in India over the next two to four years, the company&#x27;s financial chief said on Tuesday. The technology supplier plans to increase the percentage of goods produced locally in India to ...

Bosch Limited (BOSCHLTD.NS) Stock Price, News, Quote & History - Yahoo Finance

Supporting our network during a changing industry landscape is essential to Bosch. That&#x27;s why we&#x27;re excited to invite you to join our independent repair shop network. Learn how the Bosch Module Program is quickly becoming an invaluable partnership for thousands of independent repair shops ...

Home - Bosch Auto Parts - Liferay DXP

The Bosch Group is a leading global supplier of technology and services. It employs roughly 402,000 associates worldwide (as of December 31, 2017). The

Bosch | Company Overview & News

For more than 100 years, Bosch has been a leader in quality and innovation in North America. Our passion for excellence stems from our founder, Robert Bosch, whose conviction and purpose are indelibly woven into the fabric of the company.

World of Bosch | Boschtools

A technology company that makes products for connecting digitally using the Internet of Things. It was founded in 1886 and is located in Stuttgart, Germany.

Bosch (company) - Wiki | Golden

Bosch Group worldwide | Bosch in the USA

We are back with another Company of the Week feature! Every week, we share an awesome tech brand from our tech company database, making their evergreen mark on the internet. This unique HackerNoon database ranks S&P 500 companies and top startups of the year alike. This week, we are proud to present Bosch! You may know Bosch for its excellent home appliances, but the German multinational engineering and technology company has a worldwide footprint across different business areas, including technology. Want to be featured on HackerNoon’s Company of the Week? Request Your Tech Company Page on HackerNoon! Bosch <> HackerNoon Tech Community Bosch recently utilized HackerNoon for its employer branding needs to advertise its software engineering and IT-related careers. Bosch’s Work #LikeABosch campaign was an excellent opportunity for the company to advertise some of its most in-demand jobs to a tech-focused audience, giving potential job seekers a chance to join an organization that has a simple motto: Grow. Enjoy. Inspire. Learn How You Can Book a Spot on HackerNoon’s Billboard Meet Bosch: #FunFact Remember how we said Bosch is more than just a home appliances company? Well, to drive that point home, Bosch recently published research on how it is using artificial intelligence to improve interior cameras that can help drivers on the road. The cool thing about Bosch’s approach? In addition to using real images, the company is also feeding synthetically generated images to its so-called occupant monitoring camera to improve outcomes. Yup, you read it right: the company is using AI to TEACH AI. You can read the research here: What is real? How artificial images make AI even smarter “It’s easy to overlook the fact that, over the long term, it’s AI more than anything else that will fundamentally change our world — even more so than the crises that are currently preoccupying us. But are we ready for this? Have we truly grasped how the technological structure of our world is changing? For me, the answer is no,” Bosch Chairman Stefan Hartung on why Europe needs the very best AI. Share Your Company's Story via HackerNoon That's all this week, folks! Stay Creative, Stay Iconic. The HackerNoon Team We are back with another Company of the Week feature! Every week, we share an awesome tech brand from our tech company database , making their evergreen mark on the internet. This unique HackerNoon database ranks S&P 500 companies and top startups of the year alike. Company of the Week Company of the Week tech company database tech company database This week, we are proud to present Bosch! You may know Bosch for its excellent home appliances, but the German multinational engineering and technology company has a worldwide footprint across different business areas, including technology. Bosch ! Bosch Want to be featured on HackerNoon’s Company of the Week? Request Your Tech Company Page on HackerNoon! Want to be featured on HackerNoon’s Company of the Week? Request Your Tech Company Page on HackerNoon ! Want to be featured on HackerNoon’s Company of the Week? Request Your Tech Company Page on HackerNoon Bosch <> HackerNoon Tech Community Bosch recently utilized HackerNoon for its employer branding needs to advertise its software engineering and IT-related careers. Bosch’s Work #LikeABosch campaign was an excellent opportunity for the company to advertise some of its most in-demand jobs to a tech-focused audience, giving potential job seekers a chance to join an organization that has a simple motto: Grow. Enjoy. Inspire. Bosch Work #LikeABosch Learn How You Can Book a Spot on HackerNoon’s Billboard Learn How You Can Book a Spot on HackerNoon’s Billboard Learn How You Can Book a Spot on HackerNoon’s Billboard Learn How You Can Book a Spot on HackerNoon’s Billboard Learn How You Can Book a Spot on HackerNoon’s Billboard Meet Bosch: #FunFact Remember how we said Bosch is more than just a home appliances company? Well, to drive that point home, Bosch recently published research on how it is using artificial intelligence to improve interior cameras that can help drivers on the road. The cool thing about Bosch’s approach? In addition to using real images, the company is also feeding synthetically generated images to its so-called occupant monitoring camera to improve outcomes. Yup, you read it right: the company is using AI to TEACH AI. TEACH You can read the research here: What is real? How artificial images make AI even smarter What is real? How artificial images make AI even smarter What is real? How artificial images make AI even smarter What is real? How artificial images make AI even smarter “It’s easy to overlook the fact that, over the long term, it’s AI more than anything else that will fundamentally change our world — even more so than the crises that are currently preoccupying us. But are we ready for this? Have we truly grasped how the technological structure of our world is changing? For me, the answer is no,” Bosch Chairman Stefan Hartung on why Europe needs the very best AI. “It’s easy to overlook the fact that, over the long term, it’s AI more than anything else that will fundamentally change our world — even more so than the crises that are currently preoccupying us. But are we ready for this? Have we truly grasped how the technological structure of our world is changing? For me, the answer is no,” Bosch Chairman Stefan Hartung on why Europe needs the very best AI. Share Your Company's Story via HackerNoon Share Your Company's Story via HackerNoon Share Your Company's Story via HackerNoon Share Your Company's Story via HackerNoon That's all this week, folks! Stay Creative, Stay Iconic. The HackerNoon Team

Meet Bosch: HackerNoon Company of the Week

মিট বশ: হ্যাকারনুন কোম্পানি অফ দ্য উইক

Lernen Sie Bosch kennen: HackerNoon-Unternehmen der Woche

Conozca a Bosch: la empresa de la semana de HackerNoon

Rencontrez Bosch : entreprise HackerNoon de la semaine

बॉश से मिलिए: हैकरनून कंपनी ऑफ द वीक

Bosch のご紹介: HackerNoon の今週の企業

Bosch를 만나보세요: 금주의 HackerNoon 회사

Conheça a Bosch: Empresa HackerNoon da Semana

Знакомьтесь, Bosch: компания недели HackerNoon

Bosch ile Tanışın: Haftanın HackerNoon Şirketi

Gặp gỡ Bosch: Công ty HackerNoon của Tuần

认识博世：HackerNoon 本周公司

Dremel 3D45 based on familiar devices are gaining popularity. This allows you to remove intermediaries and reduce the cost of maintaining devices. And we are pleased to present our collaboration with and Bosch, which led to the creation of an interesting project — a self-sustaining 3D Printing Service. Self-sustaining systems Dremel Project description The essence of the project is to create a remote 3D printing service. In which user uploads 3D model, after what to him showing information about the approximate time and cost of 3D model printing. Then service offers two payment methods: Pay immediately and Pay Per time. The cost of printing is calculated by the time spent and the amount of material. Immediately payment is made according to the approximate time of printing with payment before printing. For the implementation of this method took the team from Bosch Connectory, as they have the experience what was gained by creating a with payment in Bosch Coins. coffee machine When user choose Pay Per Time method, payments will be made through payment channels every n-time of the printer work. This method has advantages over Immediately payment: the user pays upon use of the service and materials, and nothing more; both parties are protected and everyone can at any time get their money on the fact of performed work. This method was implemented by our team. The speed and cheapness of transactions in the Byteball network allow you open a payment channel in seconds and all transactions on it are free and unlimited in number. Paying only for the opening and closing of the channel, which is less than 0.0001 €. After selecting a payment method, the user is displayed QR-code. After scanning it, you will receive payment information in Bosch Coins. In the end, when user will confirm the payment, printer will start printing. During a week of work in the office of Bosch Connectory, we have implemented the main core of this project. This is not the end of our work and we will continue remotely. At this stage, we need to “polish” the implemented and expand the functionality. In the final Our team is very grateful for the opportunity to work on such an interesting project. An interesting project like no one inspires to work productively. Special thanks I would like to Express to the team from Bosch Connectory: Gress Antonius, Tran Rui Lun and Roth Hannes. Contact us Follow our for last news, and join our community on Send us your questions and suggestions on — Twitter Telegram . team@biot.ws . Our website — https://biot.ws/

Bosch-BIoT: Self-sustaining 3D Printing service

, BOSCH Venture Capital . Although “a bigger unveil (one of the IOTA partnerships)” at the CES , it was still interesting to watch BOSCH’s tweets from their press conference: This article tries to show why IOTA’s technology perfectly fits in the company’s plans. As we have seen already has bought a “significant amount of IOTA tokens” had been postponed Note: This has not been confirmed by the IOTA Foundation, it’s just my own thoughts so please consider it as such. The overall situation Bosch is one of the biggest and most advanced companies within the realm of vehicle parts suppliers and IoT: Bosch ranked first in eight of nine key reputation attributes, making it the most admired automotive supplier worldwide. ( ) link As the European Patent Organisation confirmed for 2016 (more recent numbers are not available at the time of writing), BOSCH has the most granted patents of all European patentees: Bosch’s own focus these days is on the three S: https://twitter.com/boschusa/status/950404229897883648 As one of the executives at the CES in Las Vegas: said Of our nearly 400,000 associates worldwide, more than 20,000 are software engineers, nearly 20% of whom are working exclusively in IoT. Interestingly enough, this seems a perfect match for IOTA’s capabilities (that’s why BOSCH invested in it, of course). Yet the question remains what BOSCH could do with? Smart cities Smart cities will be huge topic in the near future, BOSCH’s tweet says it all: alone has announced a plan to invest $500m over the next seven years smart city infrastructure. In Bay area a beacon project has been launched which is supposed simply by using 5000 smart street lights. Las Vegas to save over $8m across 15 years Bosch sensors are the eyes and ears of the connected city. In this case, its brain is our software.(Mike Mansuetti, Preseident of Bosch North America) Furthermore it was stated that by 2020 all electronic products . As you can imagine, this will result in a incredible amount of data that will be set free. IOTA’s scaling capabilities and speed enable it to be the base-layer of all these transactions of information. In the following, I shall give an overview of some usecases which could technically be done using IOTA infrastructure. will be web-enabled Climate monitoring The idea here is to analyze the air quality, humidity and pollen concentration in order to improve the overall quality by putting measures into place if necessary. The product to gather the information is already working and : The Climo. has received the CES 2018 Innovation Award Several of these Climo boxes were deployed in Las Vegas right before the CES in order to show the capabilities to the conference attendees. Of course, the collected data can be “faked”, for example by positioning the boxes in a very “green/healthy” part of the city. However, the idea is to collect data from so many points that the overall number of information sources will prevent biased results. Moreover, you could also only focus on a specific area of the city in order to compare the data to other parts of the city. IOTA’s network called “tangle” would be the link between all the sensors. IOTA’s tangle would be the layer on which all of these information pieces are exchanged. To make this clearer: Imagine hundreds of Climos in Las Vegas sending their data every second to the = real time information. A sophisticated blockchain might be able to handle this, agreed. And such a blockchain might come up with a marketplace, agreed. Right, that’s hundreds of Climos +hundreds of thousands homes sending their data every second over a public ledger! And this is why IOTA is needed because it offers the , the and it has ! IOTA market place But what if hundreds of thousands of residents buy the technology for their own roof because they want to make good money by selling the data to air-quality-improving-companies’ R&D branches? speed scalabilty no transaction fees Collecting data about air quality can be done easily by companies, municpalities as well as by individuals. The incentive is to sell that data on a marketplace which in turn can be used by corporates to build products which will improve air quality again. It’s a win-win situation. Community-based parking Have you ever been in a city trying desperately to find a parking spot? BOSCH thought about this problem and their solution is simply brilliant: Cars driving past a parking space recognize spaces via sensors, and connection hardware and drivers receive the parking space information in real-time. They are then quickly and easily navigated towards an empty space. ( ) link Watch this short video to get the idea: Again, this is a lot of data: Every car sensors possible parking spots, transmits the data in real-time and the exact same data needs to be transfered to all the cars looking for a parking spot. Of course, this could be perfectly combined with self-driving vehicles: You just hop off at the store where you want to go, the car finds itself a spot to wait (or is used for other purposes in the meantime) and comes back to you once you are done. This sounds rather futuristic and utopian, but BOSCH . 20 US cities (such as Miami, LA and Boston) will offer this amazing technology ! has already equipped 1.5m cars with their IoT software in 2018 Again, this is so much data be produced for one city alone — but if it is successful, the whole world will want this technology and that means an incredible amount of data which needs to be processed. Since IOTA was tailored exactly for IoT cases like that, all the data could be transfered in real-time without any fees! One could also imagine a usecase like this: Before starting your trip in the car you reserve a free parking spot for a certain amount and can be sure to get this one (e.g. right in front of your destination). The possibilities are endless! Other usecases I think you got the gist so far: It’s a lot of information which can be used (if processed in real-time) to help individuals have a better/smarter/… life. The following are just some ideas how the technology can help us and each of these usecases would perfectly be doable using IOTA’s tangle as a base-layer: XDK You might ask: Fine, nice tech — but BOSCH using IOTA would need a working product by now? You are right, and this product really exits: the XDK. It is a small developer kit which collects various data (for example from machines) for later analysis: Dominik Schiener, Co-founder of IOTA, introduced how IOTA’s technology works on this kit: So BOSCH is apparently really interested in IOTA’s capabilities. These ideas are being made real as you are reading this. Of course, BOSCH is not the only company doing this. And since there are many others trying to make money establishing this kind of technology in countless industries: Yet neither consumers nor the companies want a different solution for each industry (imagine different standards among TVs and each producer would have to follow different sets of rules for different standards; we had this problem once between BluRay and HD-DVD; there could only be one…). So the question remains: What will be the standard protocol in IoT/Industry 4.0 to transfer and process all this data? In my opinion, there is only one candidate which offers everything that is needed: speed for real-time transactions scalability to handle millions and billions of transactions no costs in order to make it as attractive as possible the necessary connections with in the industries (partnerships, cooperations etc.) And guess what? The only existing tech out there offering each of these is IOTA even if it only at a rather early stage of its development. The time of thousands of cryptocurrencies is ending(95% of which are just copycats of Bitcoin without real usecases) — 2018 will be the year of real-world adoption and nobody is better prepared for this than IOTA (for more information in this regard read (more than 60,000 views within a week!). my previous articles If you want to, I would be happy about a little donation ;-): IOTA: KGOZYHJRYVDBSXTUSECYJVEBLDVYFKCAKAWTPTCKXMBNOWNVRDRHRVSJNIVOQUFRODFPXWYSGROKRWKRZWJZTJOHSX

IOTA: possible BOSCH usecases

VANCOUVER, Canada, March 18th, 2025/Chainwire/--The artificial intelligence landscape is evolving. Traditional AI models remain centralized, relying on static text data and corporate control. iAgent is introducing a decentralized AI framework where AI agents are trained, owned, and monetized on-chain using real-world visual data. iAgent iAgent Backed by a recent $3 million investment, iAgent has forged several strategic partnerships with leading projects such as Base, LayerZero, Avalanche, Aethir, Arbitrum, and XAI Games. With over 700,000 users on its AGNTxp platform, iAgent is at the forefront of AI x Gaming x DePIN innovation. Now, with TGE live, iAgent is laying the foundation for AI Agents to become a new digital asset that can be trained, validated, and exchanged transparently. "AI should be decentralized, transparent, and monetizable. iAgent is ensuring AI models belong to those who train them, not corporations." — Jamie Batzorig, Co-Founder of iAgent. "AI should be decentralized, transparent, and monetizable. iAgent is ensuring AI models belong to those who train them, not corporations." — Jamie Batzorig, Co-Founder of iAgent. iAgent’s Product Hub: Powering the AI Economy iAgent’s ecosystem consists of a suite of interconnected products aimed at supporting AI development, deployment, and monetization through a decentralized framework. Each component is designed to enhance the verifiability, scalability, and accessibility of AI models across various ecosystems. Visual Learning Model (VLM): Adaptive AI Training Unlike traditional AI that relies on text-based training (LLMs), iAgent’s Visual Learning Models (VLMs) enable AI agents to learn from real-world gameplay footage. This approach allows AI to analyze, strategize, and adapt dynamically, making them more intelligent and applicable in real-world scenarios. iAgent’s VLM-powered AI utilizes real-player interactions to enhance its adaptability, enabling continuous optimization for performance in competitive gaming environments and other applications: Current live for Counter Strike 2, Off the Grid & Citizen Conflict. Players have already contributed 25 TB+ gameplay data.
Over 10,000+ hours of gameplay footage recorded Players have already contributed 25 TB+ gameplay data. Over 10,000+ hours of gameplay footage recorded ERC-** Agent Standard: A New AI Digital Asset Class iAgent’s ERC-** standard will bring AI Agents on-chain as verifiable, secure, and interoperable digital assets. This aims to enable true ownership, trading, and cross-chain utilization without centralized control. While enhancing trust and transparency through provable authenticity and ownership history. AI Agent Marketplace: The Open AI Economy The AI Agent Marketplace serves as the foundation of iAgent’s decentralized ecosystem, enabling seamless AI model deployment, trading, and monetization. Developers can list AI-powered agents for rental or sale, while businesses and game studios can purchase or integrate AI models tailored to their needs. iAgent DEV Hub: Decentralized AI Infrastructure The iAgent DEV Hub acts as the backbone of the protocol, offering developers and AI researchers a comprehensive suite of tools, SDKs, and APIs to build and optimize AI models. It provides a trustless AI validation framework, leveraging on-chain verification nodes, cross-DePIN compute integration, and AI execution tracking. AI in Gaming: The Next Evolution of Intelligent Agents Gaming offers high-quality, labeled data, making it a suitable environment for training advanced AI models. iAgent is introducing adaptive AI agents to gaming, facilitating: AI-powered game assistants – AI agents that analyze in-game movements, provide real-time coaching and improve player performance in FPS games like Valorant.
Smart NPCs that evolve dynamically – NPCs in RPGs like World of Warcraft that learn and adapt to a player’s choices, creating truly immersive experiences.
AI anti-cheat and security systems – AI in games like CS2 that detects aimbots and wallhacks in real-time, ensuring fair gameplay.
Predictive AI for in-game economies – AI models that track in-game trends, helping players optimize asset trading in games like Diablo 4. AI-powered game assistants – AI agents that analyze in-game movements, provide real-time coaching and improve player performance in FPS games like Valorant. Smart NPCs that evolve dynamically – NPCs in RPGs like World of Warcraft that learn and adapt to a player’s choices, creating truly immersive experiences. AI anti-cheat and security systems – AI in games like CS2 that detects aimbots and wallhacks in real-time, ensuring fair gameplay. Predictive AI for in-game economies – AI models that track in-game trends, helping players optimize asset trading in games like Diablo 4. iAgent’s decentralized AI infrastructure will expand beyond gaming, creating an open AI economy applicable across industries. "Gaming is the first major use case, but our AI infrastructure will extend to multiple sectors. AI models will be owned, monetized, and deployed across various real-world applications." — MHL Solutions, iAgent Advisor. "Gaming is the first major use case, but our AI infrastructure will extend to multiple sectors. AI models will be owned, monetized, and deployed across various real-world applications." — MHL Solutions, iAgent Advisor. Roadmap: From Foundation to AI Economy 2023-2024: Establishing the iAgent Protocol Development of Visual Learning Models (VLMs) and AI ownership framework.
AGNTxp launch, onboarding 700K+ users and generating 75K+ AI identities.
AI data collection platform, accumulating 25+ TB+ gameplay data.
Genesis Node Sale to decentralize AI model validation and verification. Development of Visual Learning Models (VLMs) and AI ownership framework. AGNTxp launch, onboarding 700K+ users and generating 75K+ AI identities. AI data collection platform, accumulating 25+ TB+ gameplay data. Genesis Node Sale to decentralize AI model validation and verification. 2025: Scaling AI Deployment & Monetization March 2025: TGE live, launching $AGNT as the core AI economy token.
On-chain governance rollout, enabling staking & liquid staking. TGE live, launching $AGNT as the core AI economy token. On-chain governance rollout, enabling staking & liquid staking. April 2025: AI Agent Marketplace launch, enabling AI deployment, trading, and rental.
ERC-** Standard proposal, formalizing AI ownership and validation. AI Agent Marketplace launch, enabling AI deployment, trading, and rental. ERC-** Standard proposal, formalizing AI ownership and validation. May 2025: AGNT-Hub powered by $AGNT. AGNT-Hub powered by $AGNT. June 2025: AI Agent Explorer & Analytics Platform, enabling transparent AI tracking. AI Agent Explorer & Analytics Platform, enabling transparent AI tracking. Q3 2025: Integration of VLM-powered AI into partner games in the AAA and indie gaming ecosystem.
Visual Data Monetization framework, allowing users to sell gameplay data to train AI. Integration of VLM-powered AI into partner games in the AAA and indie gaming ecosystem. Visual Data Monetization framework, allowing users to sell gameplay data to train AI. Q4 2025: Protocol Testnet Launch, deploying decentralized AI compute infrastructure.
Mainnet launch, establishing the fully operational iAgent Protocol. Protocol Testnet Launch, deploying decentralized AI compute infrastructure. Mainnet launch, establishing the fully operational iAgent Protocol. AGNT: Advancing Practical Applications in AI and Blockchain As the core of the iAgent ecosystem, AGNT enables: AI Training & Trading – AI models can be owned, sold, and deployed through the marketplace.
Compute & Staking Rewards – GPU node operators are incentivized for providing AI training power.
Visual Data Monetization – Users can get AGNT by contributing high-quality labeled data.
Governance Participation – AGNT holders shape the evolution of iAgent’s decentralized AI infrastructure. AI Training & Trading – AI models can be owned, sold, and deployed through the marketplace. Compute & Staking Rewards – GPU node operators are incentivized for providing AI training power. Visual Data Monetization – Users can get AGNT by contributing high-quality labeled data. Governance Participation – AGNT holders shape the evolution of iAgent’s decentralized AI infrastructure. AI is Becoming an Asset Class, and iAgent is Leading the Way. The AI, gaming, and DePIN industry is set to grow from $553.7 billion today to $2.8 trillion by 2030. iAgent aims to build the infrastructure for this growth. About iAgent Protocol iAgent’s Visual Learning Model allows gamers to train custom AI agents from their gameplay footage, powered by decentralized computing. By leveraging blockchain technology, it introduces a new digital asset class, enabling users to Create, Own, and Monetize their AI agents in gaming. iAgent’s iAgent’s Founded by a powerhouse team of industry veterans and innovators, iAgent's leadership team includes eight C-level executives with a combined 20+ years of experience at Fortune 500 companies, driving strategic growth and innovation. On the tech front, the team comprises 12 top-tier AI and blockchain engineers, bringing expertise from global giants like Bosch, Meta, Airbus, and Samsung. The best minds shaping the future of AI x Gaming x DePIN together. Website | Twitter | Telegram | Discord | Whitepaper | Linktree Website Website Twitter Twitter Telegram Telegram Discord Discord Whitepaper Whitepaper Linktree Linktree Contact Co-Founder & CEO Jamie Batzorig iAgent Corporation jamie@iagentpro.com This story was distributed as a release by Chainwire under HackerNoon’s Business Blogging Program. Learn more about the program here This story was distributed as a release by Chainwire under HackerNoon’s Business Blogging Program. Learn more about the program here here here

iAgent Secures $3M, Launches $AGNT, And Will Introduce a New ERC-**Standard For AI Agents

iAgent beveilig $3 miljoen, stel $AGNT bekend en sal 'n nuwe ERC-**-standaard vir KI-agente bekendstel

iAgent zajistí 3 miliony dolarů, spouští AGNT $ a představí nový standard ERC-** pro AI agenty

iAgent obtiene 3 millones de dólares, lanza $AGNT y presentará un nuevo estándar ERC-** para agentes de IA

iAgent lève 3 millions de dollars, lance $AGNT et introduira une nouvelle norme ERC-** pour les agents IA

iAgent ने $3M हासिल किया, $AGNT लॉन्च किया, और AI एजेंटों के लिए एक नया ERC-**मानक पेश करेगा

iAgent Sekirize $3M, lanse $AGNT, epi li pral prezante yon nouvo ERC-**Standa pou ajan AI.

iAgent が 300 万ドルを調達し、$AGNT を立ち上げ、AI エージェント向けの新しい ERC-** 標準を導入

„iAgent“ užsitikrina 3 mln. USD, paleidžia USD AGNT ir pristatys naują ERC-** DI agentų standartą

iAgent garante US$ 3 milhões, lança $AGNT e apresentará um novo padrão ERC-**para agentes de IA

iAgent Yizewe $ 3M, Itangiza $ AGNT, Kandi Izana ERC Nshya - ** Ibisanzwe kubakozi ba AI

iAgent säkrar $3 miljoner, lanserar $AGNT och kommer att introducera en ny ERC-**-standard för AI-agenter

iAgent 3 миллион долларро таъмин мекунад, $AGNT-ро оғоз мекунад ва ERC-** стандарти нави агентҳои AI-ро ҷорӣ мекунад

Table of Links Abstract and 1 Introduction Abstract and 1 Introduction 2. Current Security Testing Platforms 2. Current Security Testing Platforms 2.1. Recent progress 2.1. Recent progress 3. A New Testing Platform and 3.1. Testing platform roles 3. A New Testing Platform and 3.1. Testing platform roles 3.2. Web-based remote access 3.2. Web-based remote access 3.3. Testbed setup 3.3. Testbed setup 4. Enabled Testing Methodologies 4.1. Secure Development Lifecycle (SDL) testing and 4.2. Penetration testing 4.1. Secure Development Lifecycle (SDL) testing and 4.2. Penetration testing 4.3. Research testing 4.3. Research testing 5. Conclusion & Outlook, and References 5. Conclusion & Outlook, and References 5. Conclusion & Outlook With vehicles becoming more software-defined, the need for higher quality and more automated security testing is evident. A flexible, easy-to-use, and remote-capable test platform not only improves the current industry testing capabilities, but it can also potentially provide easier access to logistically challenging and costly hardware. This allows the industry access a larger pool of talent for testing and allows more people to learn about automotive components. Furthermore, we see potential in leveraging this type of cloud-based platform to reduce costs and increase participation for global hacking competitions and Bug Bounty programs. That being said, the ideal testing platform is one that the community will actually use and implement in their research, development, and production. In this work, we propose several well-defined methodologies to build a useful and configurable remote testing platform. However, as the needs of the automotive security industry changes, this testing platform should be able to adapt and be as flexible as possible. Once other testing platforms mature, future work should investigate the different underlying technologies and features used to build these platforms and explore relevant trade-offs and limitations. References [1] CanBusHack. Cloudcar. Available at https://cloudcar.canbushack. com/. Accessed on 2024-03-15. [2] Sam Curry. Web hackers vs. the auto industry: Critical vulnerabilities in ferrari, bmw, rolls royce, porsche, and more. Available at https://samcurry.net/web-hackers-vs-the-auto-industry/. Accessed on 2024-03-15. [3] International Organization for Standardization. ISO/SAE 21434: 2021: Road Vehicles: Cybersecurity Engineering. ISO, 2021. [4] Eclipse Foundation. Eclipse opendut. Available at https://projects. eclipse.org/projects/automotive.opendut. Accessed on 2024-03-15. [5] Stefan Gehrer, Jorge Guajardo Merchan, and Shalabh Jain. System and method for intrusion detection on a physical level using an internal analog to digital converter, March 31 2022. US Patent App. 17/032,624. [6] Block Harbor. Block harbor vsec. Available at https://blockharbor. io/vsec-platform/. Accessed on 2024-03-15. [7] Jake Jepson, Subhojeet Mukherjee, Martin Span, and Jeremy Daily. Canlay: A network virtualized testbed for vehicle systems– improving system integration and verification efforts. In INCOSE International Symposium, volume 33, pages 1–16. Wiley Online Library, 2023. [8] Keysight. Sa8710a automotive cybersecurity test platform. Available at https://www.keysight.com/us/en/product/SA8710A/ automotive-cybersecurity-penetration-test-platform.html. Accessed on 2024-03-15. [9] Sekar Kulandaivel. Revisiting remote attack kill-chains on modern in-vehicle networks. PhD thesis, Carnegie Mellon University, 2021. [10] Sekar Kulandaivel, Tushar Goyal, Arnav Kumar Agrawal, and Vyas Sekar. {CANvas}: Fast and inexpensive automotive network mapping. In 28th USENIX Security Symposium (USENIX Security 19), pages 389–405, 2019. [11] Sekar Kulandaivel, Shalabh Jain, Jorge Guajardo, and Vyas Sekar. Cannon: Reliable and stealthy remote shutdown attacks via unaltered automotive microcontrollers. In 2021 IEEE Symposium on Security and Privacy (SP), pages 195–210. IEEE, 2021. [12] Shahid Mahmood, Hoang Nga Nguyen, and Siraj A Shaikh. Automotive cybersecurity testing: Survey of testbeds and methods. Digital Transformation, Cyber Security and Resilience of Modern Societies, pages 219–243, 2021. [13] BG Networks. Bg networks crate. Available at https://bgnetworks. com/crate/. Accessed on 2024-03-15. [14] Mert D Pese, Troy Stacer, C Andr ´ es Campos, Eric Newberry, ´ Dongyao Chen, and Kang G Shin. Librecan: Automated can message translator. In Proceedings of the 2019 ACM SIGSAC Conference on Computer and Communications Security, pages 2283–2300, 2019. [15] CARLA Team. Carla open-source simulator for autonomous driving research. Available at https://carla.org/. Accessed on 2024-03- 15. [16] GRVA WP29 UNECE. Un regulation no. 155—cyber security and cyber security management system. Technical report, Technical Report. United Nations, 2021. [17] VDA. Automotive spice. Available at https://vda-qmc.de/en/ automotive-spice/. Accessed on 2024-03-15. [18] Vector. Vector vt system. Available at https://www.vector.com/int/ en/products/products-a-z/hardware/vt-system/#c174985. Accessed on 2024-03-15. [19] VicOne. Vicone automotive cyberthreat landscape report 2023. Available at https://documents.vicone.com/reports/ automotive-cyberthreat-landscape-report-2023.pdf. Accessed on 2024-03-15. [20] Anthony Kee Teck Yeo, Matheus E. Garbelini, Sudipta Chattopadhyay, and Jianying Zhou. Vitrobench: Manipulating in-vehicle networks and cots ecus on your bench: A comprehensive test platform for automotive cybersecurity research. Vehicular Communications, 43, 2023. This paper is available on arxiv under CC BY 4.0 DEED. This paper is available on arxiv under CC BY 4.0 DEED. available on arxiv Authors:
(1) Sekar Kulandaivel, Robert Bosch LLC — Research and Technology Center;
(2) Wenjuan Lu, Block Harbor Cybersecurity;
(3) Brandon Barry, Block Harbor Cybersecurity;
(4) Jorge Guajardo, Robert Bosch LLC — Research and Technology Center. Authors: Authors: (1) Sekar Kulandaivel, Robert Bosch LLC — Research and Technology Center; (2) Wenjuan Lu, Block Harbor Cybersecurity; (3) Brandon Barry, Block Harbor Cybersecurity; (4) Jorge Guajardo, Robert Bosch LLC — Research and Technology Center.

The Future of Automated Security Testing

Table of Links Abstract and 1 Introduction Abstract and 1 Introduction 2. Current Security Testing Platforms 2. Current Security Testing Platforms 2.1. Recent progress 2.1. Recent progress 3. A New Testing Platform and 3.1. Testing platform roles 3. A New Testing Platform and 3.1. Testing platform roles 3.2. Web-based remote access 3.2. Web-based remote access 3.3. Testbed setup 3.3. Testbed setup 4. Enabled Testing Methodologies 4.1. Secure Development Lifecycle (SDL) testing and 4.2. Penetration testing 4.1. Secure Development Lifecycle (SDL) testing and 4.2. Penetration testing 4.3. Research testing 4.3. Research testing 5. Conclusion & Outlook, and References 5. Conclusion & Outlook, and References 4. Enabled Testing Methodologies 4.1. Secure Development Lifecycle (SDL) testing VSEC Test aims to integrate all methods of vehicle cybersecurity testing into a single easy-to-use platform. As discussed above, a portion of cybersecurity verification, as required by the ISO/SAE standard, is no different than software and systems verification required by other industry standards. The remote capabilities and test management features offered by VSEC Test allows test engineers to design and set up the test procedures one time in order to run on a schedule or triggered by other tools as a part of CI/CD frameworks. This centralized platform for test procedures and results can potentially be used to exchange data throughout the supply chain and ensure consistent verification test coverage for the development life cycle of a vehicle. For example, we perform continuous cybersecurity functional testing on components with over-the-air (OTA) update functionality as a service. We set up the test rack and develop the test procedures once on VSEC Test, and it is performed on a periodic schedule and also whenever a new software update is applied. Continuous functional testing against cybersecurity requirements effectively identified vulnerabilities that were overlooked during the development cycle. In addition, VSEC Test provides a set of built-in tests as a preliminary scan for known weaknesses and vulnerabilities, which can be used directly against a target vehicle or ECU. This scan can allow users to easily and quickly determine if there are large gaps in measures protecting the interface or if there are known exploits that will work on the target vehicle or ECU. 4.2. Penetration testing Pentesting approaches. Most pentest engagements start with an exploratory phase, where the tester aims to discover as much information about the target as possible. The duration and effort in this phase is largely determined by the amount of information available to the tester. VSEC Test allows users to build a pool of their own test scripts or use built-in discovery scans specifically targeting automotive networks, including protocols such as UDS and XCP. These tests can be queued up and ran in the background or over the weekend, saving time and allowing a team to focus on more technically challenging tasks or other projects. The web interface allows testers to access and check on test status at any time from anywhere to determine the next step of action. Pentesting approaches. Partner Pentesting. A major difficulty in accessing the talent pool of world-class vehicle penetration testers is physical location. The VSEC Test platform enables any remote engineer with credentials to connect to the bench and handle any physical interactions with the component and remotely script and execute tests from VSEC Test. We call this Partner Pentesting. Partner Pentesting. To evaluate the Partner Pentesting concept, we set up a scenario as depicted in Figure 2, where a remote wireless penetration testing specialist is working with a local test engineer to control a software-defined radio connected to the cloud and capture communication between the key fob and the car in addition to any vehicle network messages. The specialist then proceeds to study and decode the traffic, create scripts to attack the communication, and work together with the local test engineer to validate findings. In this case, without physical access to the vehicle and a local partner to perform tasks, it would have been very difficult to perform a meaningful penetration test against the vehicle’s wireless entry system. Side-channel analysis. On the other hand, we have other benches in the lab can be tested with little to no user interactions. For these targets, fully remote networklevel penetration test with a test bench setup can achieve results on-par with on-site engagements. However, we found that more hands-on penetration testing procedures such as hardware analysis and side channel attacks are still very difficult to perform without having an onsite specialist. As a result, while acceptable for many scenarios, fully remote penetration testing remains very limited for certain configurations due to manual activation required for physical interfaces and required hardware and tooling interaction for certain procedures. However, we are able to make progress with a Partner Pentesting setup that provides assistance from onsite personnel and achieves comparable outcomes as a fully onsite engagement. Side-channel analysis. This paper is available on arxiv under CC BY 4.0 DEED. This paper is available on arxiv under CC BY 4.0 DEED. available on arxiv Authors:
(1) Sekar Kulandaivel, Robert Bosch LLC — Research and Technology Center;
(2) Wenjuan Lu, Block Harbor Cybersecurity;
(3) Brandon Barry, Block Harbor Cybersecurity;
(4) Jorge Guajardo, Robert Bosch LLC — Research and Technology Center. Authors: Authors: (1) Sekar Kulandaivel, Robert Bosch LLC — Research and Technology Center; (2) Wenjuan Lu, Block Harbor Cybersecurity; (3) Brandon Barry, Block Harbor Cybersecurity; (4) Jorge Guajardo, Robert Bosch LLC — Research and Technology Center.

Enabled Testing Methodologies: Secure Development Lifecycle (SDL) Testing and Penetration Testing

Table of Links Abstract and 1 Introduction Abstract and 1 Introduction 2. Current Security Testing Platforms 2. Current Security Testing Platforms 2.1. Recent progress 2.1. Recent progress 3. A New Testing Platform and 3.1. Testing platform roles 3. A New Testing Platform and 3.1. Testing platform roles 3.2. Web-based remote access 3.2. Web-based remote access 3.3. Testbed setup 3.3. Testbed setup 4. Enabled Testing Methodologies 4.1. Secure Development Lifecycle (SDL) testing and 4.2. Penetration testing 4.1. Secure Development Lifecycle (SDL) testing and 4.2. Penetration testing 4.3. Research testing 4.3. Research testing 5. Conclusion & Outlook, and References 5. Conclusion & Outlook, and References 3.3. Testbed setup Sourcing ECUs. In the context of this work, we define ECUs as production ECUs from the field (i.e., real vehicles), engineering samples (e.g., A-samples, Bsamples), or even off-the-shelf automotive-grade microcontrollers (MCUs). Depending on the user, obtaining ECUs for the testing platform will require different approaches. Where an engineer and pentester would get hardware from their own supply chain or from the contracted customer, respectively, a researcher would likely obtain ECUs from a real vehicle from either a salvage yard or buying ECUs directly from OEM parts shops. Sourcing ECUs. Testing a single ECU can be sufficient if the tests are focused on purely CAN physical layer specifics or other singleECU session-based protocols, such as Unified Diagnostic Services (UDS) protocol and Universal Measurement and Calibration Protocol (XCP). In some cases, multiple ECUs are needed to wake up certain ECUs (e.g., a powertrain ECU may require a body ECU and vice versa), although we have reverse-engineered some of these wake-up messages. For our platform, we source ECUs across three different OEMs from a local salvage yard and from a real vehicle: five powertrain ECUs (two pairs of duplicates from different model years), a gateway ECU, a power steering ECU, and two instrument panel clusters (IPCs). We also acquire a C-sample gateway ECU from one of the aforementioned OEMs, which matches the OEM of one of the IPCs. Additionally, we also obtain a CANenabled automotive-grade MCU with full programming capabilities. Configurable network. Most users will often work on projects that require ECUs with different bus speeds, different OEMs, and different attached hardware (e.g., measurement tools, actuators, etc.) As such, it is necessary for a testing platform to provide the ability to configure the platform remotely. The alternative here is having access to multiple real vehicles or (re)building separate test beds, which is expensive and harder to manage. We build a prototype of a configurable CAN bus network system that supports multiple bus speeds, multiple ECUs from multiple OEMs, and the ability to switch on/off the power of each ECU on-demand via VSEC Test. Configurable network. In Figure 1, we depict an example of of a single platform that: (1) hosts multiple buses with different bus speeds, (2) multiple OEM platforms on one bench, and (3) the ability to control the network topology. The figure demonstrates what the entire bench looks like with ECUs from three different OEMs as well as how our testing platform would bring up a network consisting of just ECUs from OEM #1 and OEM #2. Using a relay board that powers on/off each ECU on command, a tester could also isolate a single ECU or subset of ECUs from the entire set. The ability to slowly ramp up the number of ECUs under test is useful when developing a technique (e.g., a new attack), and the ability to test a technique against multiple OEM implementations can determine the applicability of the technique. For our platform, we construct a configurable network by attaching the power supply of each ECU to a 16-port relay board,[1] which is controlled by an Arduino Due MCU. A script on the tester PC communicates with this MCU over Serial, and the code on the Arduino toggles the user-specified ECU to activate/deactivate. In this work, we focus on CAN buses, and adding a new bus protocol such as Automotive Ethernet or CAN-FD would be similar. Network simulation. Real CAN traffic from road tests is often only available after a vehicle is in production. This traffic is usually the only information a researcher can access to simulate the bus network. Reverse-engineering CAN traffic can successfully uncover which CAN messages control which vehicle features/sensors [14], [20]. Engineers and some pentesters (depending on the contract) have access to proprietary CAN database (DBC) files, which identify the producer/consumer of each signal for all CAN messages. An alternative source of information for engineers and pentesters are Restbus simulations, which provides sufficient CAN traffic for the ECU under test to function as expected. For our platform, we investigated another method of obtaining a larger network of ECUs by combining the traffic from multiple ECUs that belong to the same make and model but are physically-distributed. We implemented a test bed with an IPC located in Pennsylvania and remotely connected to a powertrain ECU hosted in Michigan. While there is some latency involved with forwarding CAN traffic between these two locations, the latency is small enough to enable access to most UDS commands and exhibit control of the IPC without any obvious delays. Network simulation. Environment simulation. While reverse-engineering and proprietary DBC files can enable users to interpret CAN signals, it is still challenging to mimic traffic from road tests without spending hours driving a vehicle. Users can utilize driving simulators, such as CARLA [15], to provide hours and miles of Environment simulation. simulated road traffic. Combining these simulators with either a reverse-engineered or original DBC file can generate realistic CAN bus traffic to the ECUs under test. Engineers often have access to advanced sensor and actuator models that can significantly enhance the realism of the CAN bus traffic. While these models are typically deployed in software-only simulations, they could be connected to our testing platform to capture results only observed on real hardware. For our testing platform, we utilize CARLA in combination with a DBC file to provide realistic speed values to an IPC and then deploy an intrusion detection system (IDS) from prior work [5] as if it were in a real car. Measurement tools. We expand the capabilities of the platform by connecting measurement tools, such as oscilloscopes and logic analyzers, and offering software control of these tools. As these tools are often expensive, a platform with centralized hardware can reduce overall hardware costs by permitting shared access to these tools. For our platform, we connect a Picoscope oscilloscope to the power pins of an ECU and a Saleae logic analyzer to all of our CAN buses. Via command-line scripts, the Picoscope can capture power profiles as input to the aforementioned IDS. Additionally, the logic analyzer can observe bit-level CAN bus traffic for the purpose of building advanced CAN bus attacks [9]–[11]. Measurement tools. This paper is available on arxiv under CC BY 4.0 DEED. This paper is available on arxiv under CC BY 4.0 DEED. available on arxiv [1] The ignition pin can be powered by a separate relay if needed, thus having up to 16 ports can help control both main power and ignition while maximizing the number of ECUs under test. Authors:
(1) Sekar Kulandaivel, Robert Bosch LLC — Research and Technology Center;
(2) Wenjuan Lu, Block Harbor Cybersecurity;
(3) Brandon Barry, Block Harbor Cybersecurity;
(4) Jorge Guajardo, Robert Bosch LLC — Research and Technology Center. Authors: Authors: (1) Sekar Kulandaivel, Robert Bosch LLC — Research and Technology Center; (2) Wenjuan Lu, Block Harbor Cybersecurity; (3) Brandon Barry, Block Harbor Cybersecurity; (4) Jorge Guajardo, Robert Bosch LLC — Research and Technology Center.

Our Testbed Setup: Sourcing ECUs, Configurable Network, and Network Simulation

Table of Links Abstract and 1 Introduction Abstract and 1 Introduction 2. Current Security Testing Platforms 2. Current Security Testing Platforms 2.1. Recent progress 2.1. Recent progress 3. A New Testing Platform and 3.1. Testing platform roles 3. A New Testing Platform and 3.1. Testing platform roles 3.2. Web-based remote access 3.2. Web-based remote access 3.3. Testbed setup 3.3. Testbed setup 4. Enabled Testing Methodologies 4.1. Secure Development Lifecycle (SDL) testing and 4.2. Penetration testing 4.1. Secure Development Lifecycle (SDL) testing and 4.2. Penetration testing 4.3. Research testing 4.3. Research testing 5. Conclusion & Outlook, and References 5. Conclusion & Outlook, and References 3.2. Web-based remote access The first step to developing a user-friendly testing platform is providing an easy-to-use and familiar interface. Vehicle Security Engineering Cloud [6] (VSEC) is a cloud-based platform that aims to connect and automate various steps of the vehicle cybersecurity engineering process. A major problem we see in the V&V processes is the lack of repeatability and frequency of tests. To address this problem, while maintaining confidentiality, VSEC Test centralizes the testing process and execution while distributing the efforts across locations and resources. Managed remote access. Via a web interface, the VSEC Test platform allows users to register and connect hardware test benches or vehicles to the cloud, which are then shared and managed centrally under an enterprise account. Authorized users are able to schedule benches, access all available interfaces of the bench via a Linux terminal, and control multiple power sources to individual configured targets. User access is configured and controlled by the lab orchestration software to prevent unauthorized access. Features such as file explorer and workspace sharing can be enabled to allow quick ways to reproduce test environments; otherwise, each user has a sandbox environment in a Docker container to keep their workspace separated. In addition, VSEC Test also hosts a test management system that allows for continuous and repeated test setup with connected benches. Managed remote access. To evaluate the effectiveness and robustness of the VSEC Test platform, we set up a few bench and vehicle targets in the lab and connected various vehicle interfaces to a local machine that connects to VSEC Test on the cloud. We used built-in tests to remotely scan for basic information from a complete vehicle network, and compared the results with similar open-source tools installed directly to the local machine. Then we set up a custom test case on VSEC Test to be ran periodically on the remote target while purposely triggering some network downtime during test execution to simulate unplanned network disruptions, and compared the results to a local setup. We found that the added latency due to the cloud connection was not sufficient to cause a noticeable negative effect on the effectiveness of the test team. Test results obtained from the cloud platform are functionally equivalent to those achieved through a local setup. Moreover, the cloud platform provides the added benefit of facilitating instant sharing of results among team members and automating the report generation process, thereby eliminating the need for manual compilation of results from open-source tools. This paper is available on arxiv under CC BY 4.0 DEED. This paper is available on arxiv under CC BY 4.0 DEED. available on arxiv Authors:
(1) Sekar Kulandaivel, Robert Bosch LLC — Research and Technology Center;
(2) Wenjuan Lu, Block Harbor Cybersecurity;
(3) Brandon Barry, Block Harbor Cybersecurity;
(4) Jorge Guajardo, Robert Bosch LLC — Research and Technology Center. Authors: Authors: (1) Sekar Kulandaivel, Robert Bosch LLC — Research and Technology Center; (2) Wenjuan Lu, Block Harbor Cybersecurity; (3) Brandon Barry, Block Harbor Cybersecurity; (4) Jorge Guajardo, Robert Bosch LLC — Research and Technology Center.

The Vehicle Security Engineering Cloud Explained

Table of Links Abstract and 1 Introduction Abstract and 1 Introduction 2. Current Security Testing Platforms 2. Current Security Testing Platforms 2.1. Recent progress 2.1. Recent progress 3. A New Testing Platform and 3.1. Testing platform roles 3. A New Testing Platform and 3.1. Testing platform roles 3.2. Web-based remote access 3.2. Web-based remote access 3.3. Testbed setup 3.3. Testbed setup 4. Enabled Testing Methodologies 4.1. Secure Development Lifecycle (SDL) testing and 4.2. Penetration testing 4.1. Secure Development Lifecycle (SDL) testing and 4.2. Penetration testing 4.3. Research testing 4.3. Research testing 5. Conclusion & Outlook, and References 5. Conclusion & Outlook, and References 3. A New Testing Platform We present a flexible and configurable testing platform for automotive security by extending a cloud-based framework with additional components to support a number of testing methodologies. We focus on building a solution that is useful for many types of users, ranging from penetration testers to security researchers, and we aim to create a platform that bridges features in both software and hardware testing. We do not aim to cover all aspects of functional and safety testing, and we do not attempt to recreate a HIL system. We implement some of these testing methodologies and discuss practical benefits of our tests. 3.1. Testing Platform Roles We design this testing platform with a variety of users and roles in mind: Penetration testers: Users who need to test quickly and easily launch automated pentesting scripts, perform wireless tests while remote, access platforms without needing to ship hardware, connect a local device to a remote device (e.g., OEM dealership tool), and easily switch between different test beds from different contracts. Penetration testers: Researchers: Users who need to easily deploy and demonstrate novel security research on ECUs from multiple OEMs, copies of the same ECU for repeatability, and multiple model years while performing analysis with measurement tools (e.g., oscilloscopes, logic analyzers) and launching attacks from a custom ECU on the network. Researchers: Engineers: Users who needs managed access to the platform via scheduling, global remote access to test beds, quick reconfiguration of a prior project to handle new vulnerabilities, and a familiar user interface to interact with. Engineers: Lab technicians: A role that is responsible for setting up hardware in the lab, activating hardware-only features inperson, and moving probes for measurement tools if need. Lab technicians: This paper is available on arxiv under CC BY 4.0 DEED. This paper is available on arxiv under CC BY 4.0 DEED. available on arxiv Authors:
(1) Sekar Kulandaivel, Robert Bosch LLC — Research and Technology Center;
(2) Wenjuan Lu, Block Harbor Cybersecurity;
(3) Brandon Barry, Block Harbor Cybersecurity;
(4) Jorge Guajardo, Robert Bosch LLC — Research and Technology Center. Authors: Authors: (1) Sekar Kulandaivel, Robert Bosch LLC — Research and Technology Center; (2) Wenjuan Lu, Block Harbor Cybersecurity; (3) Brandon Barry, Block Harbor Cybersecurity; (4) Jorge Guajardo, Robert Bosch LLC — Research and Technology Center.

A New Testing Platform and Testing Platform Roles

Table of Links Abstract and 1 Introduction Abstract and 1 Introduction 2. Current Security Testing Platforms 2. Current Security Testing Platforms 2.1. Recent progress 2.1. Recent progress 3. A New Testing Platform and 3.1. Testing platform roles 3. A New Testing Platform and 3.1. Testing platform roles 3.2. Web-based remote access 3.2. Web-based remote access 3.3. Testbed setup 3.3. Testbed setup 4. Enabled Testing Methodologies 4.1. Secure Development Lifecycle (SDL) testing and 4.2. Penetration testing 4.1. Secure Development Lifecycle (SDL) testing and 4.2. Penetration testing 4.3. Research testing 4.3. Research testing 5. Conclusion & Outlook, and References 5. Conclusion & Outlook, and References 2.1. Recent progress Despite the challenges faced by the industry, we have seen considerable effort being made recently to address the shortcomings of cybersecurity testing. Table 1 compares our platform against several other modern testing platforms and highlights the key attributes that we offer and also explore in this paper. Testing hardware. Electronics test and measurement equipment and software manufacturer, Keysight Technologies, launched the SA8710A Automotive Cybersecurity Test Platform [8] a few years back with hardware that connects to all relevant interfaces on a modern vehicle and built-in security scanners and fuzzing tools. Built with its product line of connectivity and measurement instruments, the Keysight platform offers hardware that is capable of capturing small variations and disturbances in communication signals. Last year, we saw the launch of the BG Networks CRATE [13], an all-in-one hardware box capable of connecting to most of the vehicle interfaces, with options to expand using USB. The CRATE™ also offers some software tools to facilitate remote access and fuzz testing. Other traditional hardware test interface providers do not offer specific hardware for security testing, but they offer software plug-ins to support limited security testing [18]. Testing hardware. Testing frameworks. The Eclipse openDuT [4] framework focuses on automated and repeatable test and validation executions in the automotive space. This work is still in an incubating state and eventually aims to support a number of use cases, such as fully automated gray-box tests, tests across distributed test benches, and other functional tests. This framework provides end-to-end encryption of a private network between edge devices (ECUs, Restbus simulations, etc.) with an underlying control and registration logic. Ideally, network traffic from different devices under test can be linked together to create a more unified approach for testing. Additionally, CANlay offers virtual configurable networks where isolated ECUs can be bridged with sensor simulators for J1939 testing. A subset of ECUs here called overlays can be tested by carrying network traffic between these isolated ECUs. Testing frameworks. The ideal solution. In contrast to prior work, we aim to build a platform that is easy to use by many users without deep hardware knowledge and preferably provide remote access to enable global teams to work on the same project at the same time. The platform should be capable of offering multiple test beds and, if required, the test bed should be configurable so that only a subset of ECUs can be operated on-demand. This hardware should be located in a central location with staff on site that specialize in hardware to support remote users that access the system. It should also be easy for a remote test engineer to launch their own custom security tests using remotely-programmable hardware and measurement tools. The ideal solution. This paper is available on arxiv under CC BY 4.0 DEED. This paper is available on arxiv under CC BY 4.0 DEED. available on arxiv Authors:
(1) Sekar Kulandaivel, Robert Bosch LLC — Research and Technology Center;
(2) Wenjuan Lu, Block Harbor Cybersecurity;
(3) Brandon Barry, Block Harbor Cybersecurity;
(4) Jorge Guajardo, Robert Bosch LLC — Research and Technology Center. Authors: Authors: (1) Sekar Kulandaivel, Robert Bosch LLC — Research and Technology Center; (2) Wenjuan Lu, Block Harbor Cybersecurity; (3) Brandon Barry, Block Harbor Cybersecurity; (4) Jorge Guajardo, Robert Bosch LLC — Research and Technology Center.

The Efforts Being Made Recently to Address the Shortcomings of Cybersecurity Testing

Table of Links Abstract and 1 Introduction Abstract and 1 Introduction 2. Current Security Testing Platforms 2. Current Security Testing Platforms 2.1. Recent progress 2.1. Recent progress 3. A New Testing Platform and 3.1. Testing platform roles 3. A New Testing Platform and 3.1. Testing platform roles 3.2. Web-based remote access 3.2. Web-based remote access 3.3. Testbed setup 3.3. Testbed setup 4. Enabled Testing Methodologies 4.1. Secure Development Lifecycle (SDL) testing and 4.2. Penetration testing 4.1. Secure Development Lifecycle (SDL) testing and 4.2. Penetration testing 4.3. Research testing 4.3. Research testing 5. Conclusion & Outlook, and References 5. Conclusion & Outlook, and References 2. Current Security Testing Platforms Currently, we see two main categories of verification activities for vehicle cybersecurity that testing platforms have aimed to support. As a part of automotive engineering development activities, cybersecurity verification is done as a part of a standard V&V process. The usual procedure for aligning this with ISO/SAE 21434 Clause 10.4.2 is as follows: Verification methods: This type of testing usually follow the ASPICE engineering process [17] of Unit Testing, Integration Testing, and Qualification Testing. Cybersecurity requirements are combined with functional requirements and verified as per engineering process standards. This type of testing includes requirement-based testing, interface testing, resource evaluation, control and data flow verification, and static and dynamic analysis. The techniques used in this type of testing follow general software testing methodology and can be easily performed by a qualified test engineer.


Testing for unidentified weakness or vulnerabilities: This type of testing is unique to the field of cybersecurity and requires the test engineer to have specialized knowledge of or experience with cyber attacks (e.g., the Sam Curry attacks [2]) in order to be effective. These activities include targeted functional testing, vulnerability assessment, fuzz testing, and penetration testing. Verification methods: This type of testing usually follow the ASPICE engineering process [17] of Unit Testing, Integration Testing, and Qualification Testing. Cybersecurity requirements are combined with functional requirements and verified as per engineering process standards. This type of testing includes requirement-based testing, interface testing, resource evaluation, control and data flow verification, and static and dynamic analysis. The techniques used in this type of testing follow general software testing methodology and can be easily performed by a qualified test engineer. Verification methods: This type of testing usually follow the ASPICE engineering process [17] of Unit Testing, Integration Testing, and Qualification Testing. Cybersecurity requirements are combined with functional requirements and verified as per engineering process standards. This type of testing includes requirement-based testing, interface testing, resource evaluation, control and data flow verification, and static and dynamic analysis. The techniques used in this type of testing follow general software testing methodology and can be easily performed by a qualified test engineer. Verification methods: Testing for unidentified weakness or vulnerabilities: This type of testing is unique to the field of cybersecurity and requires the test engineer to have specialized knowledge of or experience with cyber attacks (e.g., the Sam Curry attacks [2]) in order to be effective. These activities include targeted functional testing, vulnerability assessment, fuzz testing, and penetration testing. Testing for unidentified weakness or vulnerabilities: This type of testing is unique to the field of cybersecurity and requires the test engineer to have specialized knowledge of or experience with cyber attacks (e.g., the Sam Curry attacks [2]) in order to be effective. These activities include targeted functional testing, vulnerability assessment, fuzz testing, and penetration testing. Testing for unidentified weakness or vulnerabilities: Out of the numerous cybersecurity testing activities discussed above, the verification testing methods are mostly addressed with a comprehensive engineering process. These methods stand to benefit from broader acceptance of other automotive quality-oriented disciplines, such as ASPICE and functional safety, which should lead to improvements. As the industry adopts better and more effective software quality engineering, in part, thanks to regulatory pressure, we are starting to see many tools being developed to address the activities of vulnerability assessment and fuzz testing, specifically targeting automotive use cases. Challenges. Even with the entrance of more service providers into the field, automotive cybersecurity functional testing and penetration testing, particularly for complex components or systems, still suffer from shortcomings in technical proficiency and cost effectiveness. Below, we list some of the main challenges we see in these types of testing: Challenges Technically qualified automotive cybersecurity testing specialists are hard to find,


Testing engagements are difficult to manage due to the (implicit) need to access hardware remotely, and


Fully remote penetration testing is still not realistic for most automotive use cases and difficult to repeat over time. Technically qualified automotive cybersecurity testing specialists are hard to find, Technically qualified automotive cybersecurity testing specialists are hard to find, Testing engagements are difficult to manage due to the (implicit) need to access hardware remotely, and Testing engagements are difficult to manage due to the (implicit) need to access hardware remotely, and Fully remote penetration testing is still not realistic for most automotive use cases and difficult to repeat over time. Fully remote penetration testing is still not realistic for most automotive use cases and difficult to repeat over time. As evident in other cybersecurity disciplines, such as web security or Internet-of-Things (IoT) security, a test engineer should readily have access to targets. However, getting access to a test target is currently much more difficult for automotive pentesters due to the cost, availability, complexity of modern vehicle architectures, and equipment needed for car hacking. Due to the unique skill set of pentesters and the small talent pool, most automotive OEMs and suppliers do not have the internal capability to perform fuzzing or penetration testing on every product. Penetration testing requires a completely different skill set and mindset from the traditional test engineer or development engineer. This activity is increasingly outsourced to third-party service providers. Compared to internal V&V, this outsourcing is much more difficult to manage in the event of project delays, dependency on third-party expertise and resources, concerns about data security and confidentiality, and limited hardware availability, which can result in timeline penalties and potentially cause mistakes in test target configurations. There has been some effort in addressing these issues with running software simulations of ECUs and networks on the cloud. However, these are often extremely limited and do not represent even a fraction of all attack surfaces of a modern vehicle [12]. More importantly, any hardwarebased weaknesses and vulnerabilities are often completely absent in software-only simulations. Traditionally, test beds for security projects are custom built for penetration testing with a highly customized interface. These test beds have a short lifetime (i.e., the length of a penetration testing contract), are very time consuming to build, and require specialized knowledge to interface with them. Due to the custom nature of these test beds and their fast turnarounds, it has not been worthwhile to build a generalized testing platform. As vehicles evolve to become more software-defined, a high demand is placed on testing far beyond product development and into the production and operation stages of the vehicle life cycle. Without a test bed to rerun penetration tests on, identifying new vulnerabilities during the life of a product can be difficult. This paper is available on arxiv under CC BY 4.0 DEED. This paper is available on arxiv under CC BY 4.0 DEED. available on arxiv Authors:
(1) Sekar Kulandaivel, Robert Bosch LLC — Research and Technology Center;
(2) Wenjuan Lu, Block Harbor Cybersecurity;
(3) Brandon Barry, Block Harbor Cybersecurity;
(4) Jorge Guajardo, Robert Bosch LLC — Research and Technology Center. Authors: Authors: (1) Sekar Kulandaivel, Robert Bosch LLC — Research and Technology Center; (2) Wenjuan Lu, Block Harbor Cybersecurity; (3) Brandon Barry, Block Harbor Cybersecurity; (4) Jorge Guajardo, Robert Bosch LLC — Research and Technology Center.

Current Security Testing Platforms: Verification Methods and More

Table of Links Abstract and 1 Introduction Abstract and 1 Introduction 2. Current Security Testing Platforms 2. Current Security Testing Platforms 2.1. Recent progress 2.1. Recent progress 3. A New Testing Platform and 3.1. Testing platform roles 3. A New Testing Platform and 3.1. Testing platform roles 3.2. Web-based remote access 3.2. Web-based remote access 3.3. Testbed setup 3.3. Testbed setup 4. Enabled Testing Methodologies 4.1. Secure Development Lifecycle (SDL) testing and 4.2. Penetration testing 4.1. Secure Development Lifecycle (SDL) testing and 4.2. Penetration testing 4.3. Research testing 4.3. Research testing 5. Conclusion & Outlook, and References 5. Conclusion & Outlook, and References Abstract—In the automotive security sector, the absence of a testing platform that is configurable, practical, and user-friendly presents considerable challenges. These difficulties are compounded by the intricate design of vehicle systems, the rapid evolution of attack vectors, and the absence of standardized testing methodologies. We propose a next generation testing platform that addresses several challenges in vehicle cybersecurity testing and research domains. In this paper, we detail how the Vehicle Security Engineering Cloud (VSEC) Test platform enables easier access to test beds for efficient vehicle cybersecurity testing and advanced (e.g., penetration, fuzz) testing and how we extend such test beds to benefit automotive security research. We highlight methodology on how to use this platform for a variety of users and use cases with real implemented examples. Abstract—In the automotive security sector, the absence of a testing platform that is configurable, practical, and user-friendly presents considerable challenges. These difficulties are compounded by the intricate design of vehicle systems, the rapid evolution of attack vectors, and the absence of standardized testing methodologies. We propose a next generation testing platform that addresses several challenges in vehicle cybersecurity testing and research domains. In this paper, we detail how the Vehicle Security Engineering Cloud (VSEC) Test platform enables easier access to test beds for efficient vehicle cybersecurity testing and advanced (e.g., penetration, fuzz) testing and how we extend such test beds to benefit automotive security research. We highlight methodology on how to use this platform for a variety of users and use cases with real implemented examples. Abstract 1. Introduction In light of recent security standards [3] and regulations [16], the automotive cybersecurity industry demands more efficient and widespread cybersecurity testing of automotive products. For example, ISO/SAE 21434 requires verification and validation (V&V) testing among the vehicle, its subsystems, and its components. Types of testing include cybersecurity functional testing, vulnerability scanning, penetration testing, and fuzz testing. This cybersecurity testing is further complicated by the current push towards software-defined vehicles, which weaves safety with security and demands faster cycles of development (and thus equally faster cycles of testing). Unfortunately, executing security tests poses a substantial challenge as a result of limited access to hardware, the lack of configurable networks, the difficulty of connecting and configuring automotive electronic control units (ECUs) for non-specialists, and the lack of qualified personnel. Fully-enabled cybersecurity features often limit the capability of functional test engineers to be able to measure and calibrate features on the spot, which results in these critical features being disabled for the majority of the test cycle. Cybersecurity testing is usually performed after functional and environmental testing, which can make it challenging for security teams to push for patching identified vulnerabilities if significant changes are required [19]. In addition to the lack of thorough security feature testing, penetration testing on complete systems is also an area that needs much improvement. It is already difficult to find security experts who are well-versed in vehicle design and infrastructure, and the physical nature of the vehicle means often these experts must be hands-on with the entire vehicle to find the path of least resistance for a threat. The size and price tag of the targets makes penetration testing of vehicles a costly process. Likewise, the ECUs within a vehicle are complicated to set up outside of a running vehicle, especially without access to proprietary knowledge (e.g., software, wiring diagrams). There are existing efforts to combat these challenges and make automotive security testing easier. Some solutions focus on cloud-based tests with virtual ECUs [1]; however, these are typically isolated and may not represent a whole system. Another solution is hardware-in-the-loop (HIL) testing [8], [18]. This type of testing approach is often tailored for testing individual ECUs or (at most) a couple of ECUs, and it would be difficult and costly to replicate a whole vehicle network of physical ECUs as it would require several HIL systems. In addition, custom test beds are often manually built to target a specific function, but these test beds are not configurable enough to be used efficiently and cost-effectively for all necessary security testing. Due to this effort, instrumenting these test beds and connecting them to a larger testing infrastructure has not traditionally been a common approach. There has been some significant progress in automotive security testing. The Eclipse openDuT framework [4] aims to automate testing and validation for automotive software and applications by offering a description language for test cases, management of test cases, and orchestration of distributed ECUs. VitroBench [20] connects ECUs on a vehicle network bus to an FPGA that can launch a variety of network attacks while simulating signals from vehicle sensors. CANlay [7] offers a network abstraction layer to facilitate transmission of controller area network (CAN) data and sensor signals between (remote) ECUs. Additionally, CRATE [13] offers an alli-n-one-box hardware solution that simplifies the connection to multiple ECUs and vehicle networks and offers other convenient capabilities, such as dedicated power switching. While each of these works targets some aspect of automotive security testing, a platform that combines many of these features into a single configurable, user-friendly, and practical remote security testing platform still eludes the industry. In this paper, we build such a testing platform and explore several testing methodologies that this platform enables for penetration testers, ECU engineers, and security researchers. We share our design and vision for this testing platform, and we posit that such a platform should offer the following key characteristics: (1) managed multiple user access control in a familiar environment, (2) access to real hardware with a realistic, configurable network, (3) hardware support at centralized locations with remote user access, and (4) ability to add custom applications for security testing. This paper is available on arxiv under CC BY 4.0 DEED. This paper is available on arxiv under CC BY 4.0 DEED. available on arxiv Authors:
(1) Sekar Kulandaivel, Robert Bosch LLC — Research and Technology Center;
(2) Wenjuan Lu, Block Harbor Cybersecurity;
(3) Brandon Barry, Block Harbor Cybersecurity;
(4) Jorge Guajardo, Robert Bosch LLC — Research and Technology Center. Authors: Authors: (1) Sekar Kulandaivel, Robert Bosch LLC — Research and Technology Center; (2) Wenjuan Lu, Block Harbor Cybersecurity; (3) Brandon Barry, Block Harbor Cybersecurity; (4) Jorge Guajardo, Robert Bosch LLC — Research and Technology Center.

Towards a New Configurable and Practical Remote Automotive Security Testing Platform

On February 20, 2025, luxury car manufacturer Mercedes-Benz announced plans to cut production costs by 10% by 2027 in light of expected lower earnings in 2025. This news follows a general downturn in German luxury car manufacturing on a global level. The BMW Group, which includes the Mini and Rolls-Royce brands, announced a global decrease in sales for all of 2024, with Volkswagen’s Porsche announcing a near-25% downturn in sales in both North America and China earlier in 2024. Consumers point to increased Chinese electric vehicle (EV) affordability, increased technology integration, and a decrease in brand reputation as key factors driving their decision-making. This can be especially seen in the growth of Chinese EVs in the German market, which is the EU’s largest market for EVs, and in China, which is a significant source of revenue for German luxury car manufacturers. Electrification and Affordability Driven by a mixture of EU CO₂ emission standards and Germany’s own desire for increased EV usage, Germany has emerged as the EU’s largest market for EV technology, with domestic luxury vehicle manufacturers competing with Chinese EVs for market share. So far, Chinese EVs have been able to make a sizable dent in the German EV market, with nearly 44,000 Chinese EVs being sold in Germany in 2024, comprising 11.5% of the total 381,000 EVs registered last year, with Chinese EVs comprising over 40% of EV import market share in Germany in Q1 2024. Price competition has enabled Chinese-manufactured EVs to dominate not only Germany’s domestic market but also the world’s. Vehicles like Nio’s ET9, set to compete directly with BMW’s 7-series and Audi’s A8, and Xiaomi’s SU7 Ultra, competing with Porsche's Taycan Turbo S, compete directly with German luxury manufacturers at a fraction of the cost. Other Chinese EVs also compete head-to-head with German auto manufacturers, to the point where Chinese-made EVs’ affordability resulted in an EU-led anti-subsidy investigation in late 2023. Price competition has drastically affected German manufacturers, to the point where German auto supplier Bosch, the world’s largest auto supplier, made significant cuts to its workforce in 2024. Consumer preference, driven primarily by cost and affordability, has taken hold of the German domestic market, with a survey from 2024 revealing that almost two-thirds of Germans can now imagine purchasing a car from a Chinese manufacturer. In fact, this number among survey respondents shot up to 80% if the respondent was specifically interested in an EV, highlighting lower prices as a primary consumer motivator for domestic German consumers. Seamless Technology Integration as a Consumer Priority Technology integration in Chinese EVs has become a strong selling point for consumers. China, which has become a major, if not the largest, market for German luxury vehicles, has drawn the ire of Chinese consumers due to its hesitancy to integrate technology into its vehicles. In contrast, Chinese EVs, with features including advanced heads-up displays and information systems, enable a more pleasant driving experience. The utilization of connected Internet of Things (IoT) and cellular technologies to control everything within the vehicle’s purview and extenuating smart devices throughout the home and the workplace have resulted in China’s leadership in global EV manufacturing. These incorporations of software and convenience have been a primary factor that has resulted in a decrease in German automakers’ share of China’s market, controlling just 15% in the present day (compared to 25% just five years ago). In fact, the combined electric market share of all German manufacturers, including Audi, BMW, Mercedes, and Porsche, was a mere five percent in 2024. Chinese EV manufacturers’ strength in technology integration has even resulted in the exportation of these technologies. This was particularly evident in Auto China 2024, which saw the announcement of Japanese car brands integrating Chinese technologies, with agreements between Nissan and Baidu, Toyota and Tencent, and Honda and Huawei dominating the conversation at the show. Loss of Brand Power and Reputation The reputational power, brand, and “made in Germany” tagline have also evolved in recent history. However, recent reports indicate that consumers are indexing less on these factors in favor of electrification, technology integration, and price, resulting in reputational loss for German luxury auto manufacturers. To this extent, German manufacturers’ reputation of complex, industrious, and over-engineered vehicles has resulted in a corresponding backlash against these companies, with many consumers pointing to decreased quality, and subsequently, loss of brand perception. The perceived strength of German-manufactured vehicles and parts has received substantial criticism in recent history, with countless auto enthusiasts on forums such as Reddit, Bimmerpost, and MBWorld discussing the increasing decline of German luxury automobiles. Inversely, the perception and reputation of Chinese EVs have increased dramatically in recent years, with Chinese EVs performing well in many side-by-side comparisons against other electric vehicles, including German luxury cars. This can be seen in the dominance of Chinese EVs around the world, with Chinese EVs comprising over 60% of worldwide EV sales in 2024. Conclusion All in all, consumers are increasingly drawn to Chinese EVs due to their lower prices, advanced technology features, and increasing brand prestige as well as awareness. This shift is particularly noticeable in the share of Chinese EVs in the EU’s largest EV market, Germany, as well as in China, where German luxury auto manufacturers were anticipating as their primary revenue source for the foreseeable future. As a result, Chinese EVs have reshaped the global automobile ecosystem and displaced German luxury car manufacturers. While the legacy prestige of German automobiles and their desirability remains, it is clear that consumers are increasingly drawn to Chinese EVs, particularly given their affordability, technology integrations, and rising luxury features. Image Credit: Matthias Balk (source) On February 20, 2025, luxury car manufacturer Mercedes-Benz announced plans to cut production costs by 10% by 2027 in light of expected lower earnings in 2025. This news follows a general downturn in German luxury car manufacturing on a global level. The BMW Group, which includes the Mini and Rolls-Royce brands, announced a global decrease in sales for all of 2024, with Volkswagen’s Porsche announcing a near-25% downturn in sales in both North America and China earlier in 2024. On February 20, 2025 , luxury car manufacturer Mercedes-Benz announced plans to cut production costs by 10% by 2027 in light of expected lower earnings in 2025. This news follows a general downturn in German luxury car manufacturing on a global level. The BMW Group, which includes the Mini and Rolls-Royce brands, announced a global decrease in sales for all of 2024 , with Volkswagen’s Porsche announcing a near-25% downturn in sales in both North America and China earlier in 2024 . February 20, 2025 February 20, 2025 2024 2024 2024 2024 Consumers point to increased Chinese electric vehicle (EV) affordability, increased technology integration, and a decrease in brand reputation as key factors driving their decision-making. This can be especially seen in the growth of Chinese EVs in the German market, which is the EU’s largest market for EVs, and in China, which is a significant source of revenue for German luxury car manufacturers. Consumers point to increased Chinese electric vehicle (EV) affordability, increased technology integration, and a decrease in brand reputation as key factors driving their decision-making. This can be especially seen in the growth of Chinese EVs in the German market, which is the EU’s largest market for EVs, and in China, which is a significant source of revenue for German luxury car manufacturers. Electrification and Affordability Electrification and Affordability Driven by a mixture of EU CO₂ emission standards and Germany’s own desire for increased EV usage, Germany has emerged as the EU’s largest market for EV technology, with domestic luxury vehicle manufacturers competing with Chinese EVs for market share. So far, Chinese EVs have been able to make a sizable dent in the German EV market, with nearly 44,000 Chinese EVs being sold in Germany in 2024, comprising 11.5% of the total 381,000 EVs registered last year, with Chinese EVs comprising over 40% of EV import market share in Germany in Q1 2024 . EU CO₂ emission standards EU CO₂ emission standards desire desire emerged emerged 44,000 44,000 381,000 381,000 Q1 2024 Q1 2024 Price competition has enabled Chinese-manufactured EVs to dominate not only Germany’s domestic market but also the world’s. Vehicles like Nio’s ET9, set to compete directly with BMW’s 7-series and Audi’s A8, and Xiaomi’s SU7 Ultra, competing with Porsche's Taycan Turbo S, compete directly with German luxury manufacturers at a fraction of the cost. compete compete competing competing Other Chinese EVs also compete head-to-head with German auto manufacturers, to the point where Chinese-made EVs’ affordability resulted in an EU-led anti-subsidy investigation in late 2023 . Price competition has drastically affected German manufacturers, to the point where late 2023 late 2023 German auto supplier Bosch, the world’s largest auto supplier, made significant cuts to its workforce in 2024 . 2024 2024 Consumer preference, driven primarily by cost and affordability, has taken hold of the German domestic market, with a survey from 2024 revealing that almost two-thirds of Germans can now imagine purchasing a car from a Chinese manufacturer. In fact, this number among survey respondents shot up to 80% if the respondent was specifically interested in an EV, highlighting lower prices as a primary consumer motivator for domestic German consumers. 2024 2024 Seamless Technology Integration as a Consumer Priority Seamless Technology Integration as a Consumer Priority Technology integration in Chinese EVs has become a strong selling point for consumers. China, which has become a major, if not the largest, market for German luxury vehicles, has drawn the ire of Chinese consumers due to its hesitancy to integrate technology into its vehicles. In contrast, Chinese EVs, with features including advanced heads-up displays and information systems, enable a more pleasant driving experience. hesitancy hesitancy features features The utilization of connected Internet of Things (IoT) and cellular technologies to control everything within the vehicle’s purview and extenuating smart devices throughout the home and the workplace have resulted in China’s leadership in global EV manufacturing. These incorporations of software and convenience have been a primary factor that has resulted in a decrease in German automakers’ share of China’s market, controlling just 15% in the present day (compared to 25% just five years ago). In fact, the combined electric market share of all German manufacturers, including Audi, BMW, Mercedes, and Porsche, was a mere five percent in 2024 . decrease decrease 2024 2024 Chinese EV manufacturers’ strength in technology integration has even resulted in the exportation of these technologies. This was particularly evident in Auto China 2024, which saw the announcement of Japanese car brands integrating Chinese technologies, with agreements between Nissan and Baidu, Toyota and Tencent, and Honda and Huawei dominating the conversation at the show. announcement announcement Loss of Brand Power and Reputation The reputational power, brand, and “made in Germany” tagline have also evolved in recent history. However, recent reports indicate that consumers are indexing less on these factors in favor of electrification, technology integration, and price, resulting in reputational loss for German luxury auto manufacturers. recent reports recent reports To this extent, German manufacturers’ reputation of complex, industrious, and over-engineered vehicles has resulted in a corresponding backlash against these companies, with many consumers pointing to decreased quality, and subsequently, loss of brand perception. The perceived strength of German-manufactured vehicles and parts has received substantial criticism in recent history, with countless auto enthusiasts on forums such as Reddit , Bimmerpost , and MBWorld discussing the increasing decline of German luxury automobiles. pointing pointing Reddit Reddit Bimmerpost Bimmerpost MBWorld MBWorld Inversely, the perception and reputation of Chinese EVs have increased dramatically in recent years, with Chinese EVs performing well in many side-by-side comparisons against other electric vehicles, including German luxury cars. This can be seen in the dominance of Chinese EVs around the world, with Chinese EVs comprising over 60% of worldwide EV sales in 2024 . side-by-side comparisons side-by-side comparisons includ ing includ 2024 2024 Conclusion Conclusion All in all, consumers are increasingly drawn to Chinese EVs due to their lower prices, advanced technology features, and increasing brand prestige as well as awareness. This shift is particularly noticeable in the share of Chinese EVs in the EU’s largest EV market, Germany, as well as in China, where German luxury auto manufacturers were anticipating as their primary revenue source for the foreseeable future. As a result, Chinese EVs have reshaped the global automobile ecosystem and displaced German luxury car manufacturers. While the legacy prestige of German automobiles and their desirability remains, it is clear that consumers are increasingly drawn to Chinese EVs, particularly given their affordability, technology integrations, and rising luxury features. Image Credit: Matthias Balk ( source ) source

How China’s EVs and Their Integrated Technologies Are Displacing German Luxury Car Manufacturers

We are back with another Company of the Week feature! Every week, we share an awesome tech brand from our tech company database, making their evergreen mark on the internet. This unique HackerNoon database ranks S&P 500 companies and top startups of the year alike. This week, we are proud to present MongoDB! You may have caught a mention of MongoDB during the pilot of the hit TV show “Silicon Valley,” but the NoSQL database product is not only popular with budding startups. In fact, you’d be amazed to learn that MongoDB powers some of the largest enterprises in the world, including prior HackerNoon company of the week Bosch which uses MongoDB Atlas when dealing with a vast amount of data in its workflows. Want to be featured on HackerNoon’s Company of the Week? Request Your Tech Company Page on HackerNoon! MongoDB <> HackerNoon Targeted Ads For all you programmers out there, you may have seen MongoDB appear across our website recently, especially if you were browsing any coding or programming-related tag on HackerNoon. Well, that’s because MongoDB and HackerNoon partnered together to highlight some amazing features from MongoDB to help you develop your own RAG or cloud document database for artificial intelligence. How’s that for cool!? In effect, you could use the same technology that is being utilized by the likes of Bosch, Novo Nordisk, Wells Fargo, and even Toyota, to create or innovate on your products! Learn How You Can Advertise to Your Specific Niche on HackerNoon Meet MongoDB: #FunFacts The founders of MongoDB — Dwight Merriman, Eliot Horowitz, and Kevin Ryan — previously worked with the online advertising company Doubleclick which was acquired by Google in the late 2000s for a whopping $3.1 billion. Using their knowledge of the limitations of relational databases, all three got together the same year Doubleclick was sold to found MongoDB whose mission is to empower innovators to create, transform, and disrupt industries by unleashing the power of software and data. Today, MongoDB’s Atlas is one of the most loved vector databases in the world, and the company, which is listed on Nasdaq, consistently ranks as one of the best places to work in. MongoDB is also a leader in cloud database management systems, as ranked by Gartner. How’s that for interesting 😏 Share Your Company's Story via HackerNoon That's all this week, folks! Stay Creative, Stay Iconic. The HackerNoon Team We are back with another Company of the Week feature! Every week, we share an awesome tech brand from our tech company database , making their evergreen mark on the internet. This unique HackerNoon database ranks S&P 500 companies and top startups of the year alike. Company of the Week Company of the Week tech company database tech company database This week, we are proud to present MongoDB ! You may have caught a mention of MongoDB during the pilot of the hit TV show “Silicon Valley,” but the NoSQL database product is not only popular with budding startups. In fact, you’d be amazed to learn that MongoDB powers some of the largest enterprises in the world, including prior HackerNoon company of the week Bosch which uses MongoDB Atlas when dealing with a vast amount of data in its workflows. MongoDB powers prior Bosch Want to be featured on HackerNoon’s Company of the Week? Request Your Tech Company Page on HackerNoon! Want to be featured on HackerNoon’s Company of the Week? Request Your Tech Company Page on HackerNoon ! Want to be featured on HackerNoon’s Company of the Week? Request Your Tech Company Page on HackerNoon MongoDB <> HackerNoon Targeted Ads For all you programmers out there, you may have seen MongoDB appear across our website recently, especially if you were browsing any coding or programming-related tag on HackerNoon. Well, that’s because MongoDB and HackerNoon partnered together to highlight some amazing features from MongoDB to help you develop your own RAG or cloud document database for artificial intelligence. How’s that for cool!? RAG cloud document database cool!? cool!? In effect, you could use the same technology that is being utilized by the likes of Bosch, Novo Nordisk, Wells Fargo, and even Toyota, to create or innovate on your products! Learn How You Can Advertise to Your Specific Niche on HackerNoon Learn How You Can Advertise to Your Specific Niche on HackerNoon Learn How You Can Advertise to Your Specific Niche on HackerNoon Learn How You Can Advertise to Your Specific Niche on HackerNoon Learn How You Can Advertise to Your Specific Niche on HackerNoon Meet MongoDB: #FunFacts The founders of MongoDB — Dwight Merriman, Eliot Horowitz, and Kevin Ryan — previously worked with the online advertising company Doubleclick which was acquired by Google in the late 2000s for a whopping $3.1 billion. Using their knowledge of the limitations of relational databases, all three got together the same year Doubleclick was sold to found MongoDB whose mission is to empower innovators to create, transform, and disrupt industries by unleashing the power of software and data. mission Today, MongoDB’s Atlas is one of the most loved vector databases in the world, and the company, which is listed on Nasdaq, consistently ranks as one of the best places to work in . MongoDB is also a leader in cloud database management systems, as ranked by Gartner. most loved vector databases best places to work in leader How’s that for interesting 😏 Share Your Company's Story via HackerNoon Share Your Company's Story via HackerNoon Share Your Company's Story via HackerNoon Share Your Company's Story via HackerNoon That's all this week, folks! Stay Creative, Stay Iconic. The HackerNoon Team

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In the world of cryptocurrencies, the term Proof-of-Concept (PoC) often appears in a lot of projects. Unlike other similarly-written concepts like Proof-of-Stake (PoS) or Proof-of-Work (PoW), this one isn’t a consensus mechanism on a certain network, and it’s also applicable outside decentralized money. That’s because a PoC is only a preliminary demonstration to verify that an idea, project, or method is feasible and practical. In other words, if you have a concept in your mind, and you think it’s actually a good idea to put into practice, you can build something small to test its value and performance. In crypto, a PoC refers specifically to an early demonstration that tests the feasibility and functionality of a new distributed network, decentralized system, coin, or protocol. It’s used to validate ideas, test assumptions, and identify potential issues before full-scale development and deployment. A lot of interesting projects have started from a simple PoC. So, if you have an original idea to start building something that improves a certain field or system, this would likely be the first station in your journey. How to make a PoC? Depending on the scale or complexity of your project, you may need more than one party and some budget to start. Let’s say that we’re trying to build a  decentralized voting system in Obyte. The primary goal would be to demonstrate that the Obyte network can enhance electoral transparency and security, addressing issues like fraud and lack of trust in traditional voting systems. The project starts with identifying the problem, focusing on improving the integrity and transparency of voting procedures. Obyte is chosen for its secure and censorship-resistant Directed Acyclic Graph (DAG) architecture. The design phase is next and outlines the technical structure. That could include data handling, vote recording, and selection of Dapps or specific features to use. Autonomous Agents on Obyte could manage vote registration and counting securely, for instance. Rigorous testing, including security audits and simulated elections, would ensure the system's reliability and address potential vulnerabilities. Finally, feedback from stakeholders, such as election officials and tech experts, is essential for refining the PoC, improving the user interface, and enhancing security features. Documenting the entire process provides a comprehensive overview, and presenting the PoC to its intended audience highlights its features and potential applications, paving the way for full-scale development. Considering the above so far, we can divide the process into six steps: define the project's goal, choose a proper decentralized network, design or select the technical structure, conduct rigorous testing and security audits, gather feedback, and document the process. Remember that, even if it doesn’t work as intended in the end, other builders may find it useful for their own ventures. Some PoCs in Obyte Previous PoCs on Obyte, in collaboration with the Bosch Connectory in Stuttgart, have demonstrated the versatility and effectiveness of this network in various applications. One PoC, for example, involved an Autonomous Agent (AA) managing a Dutch auction, where items are sold in a reverse auction format. In this case, sellers input auction details, such as start price and price drop intervals, via an Obyte chatbot. Buyers place bids, and the AA handles the entire process, including confirming sales, shipping items, and releasing payments upon receipt, all while updating reputation ratings. Another PoC utilized Obyte to demonstrate the functioning of an onsite vending machine filled with power tools at a construction site. Workers would rent tools on a pay-by-use basis, scanning a QR code to pay with Bosch Coins —a customized token also developed in Obyte. The vending machine securely generates new deposit addresses via an Extended Public Key, ensuring the funds' safety even if the machine is damaged or stolen. This setup also provides real-time payment notifications to administrators. A third PoC involved booking conference rooms using Bosch Coins through the Connectory Member Portal App. Users would book rooms and other services, paying with these tokens. An autonomous agent tracks and distributes Bosch Coin allowances for each department, facilitating efficient inter-departmental charge reconciliation and preventing overspending on Bosch Coins. These are nice samples of past years, but now it's up to new innovators to explore and develop their own Proofs of Concept. With its powerful and decentralized features, Obyte is a good place to start doing it. Featured Vector Image by Freepik In the world of cryptocurrencies, the term Proof-of-Concept (PoC) often appears in a lot of projects. Unlike other similarly-written concepts like Proof-of-Stake (PoS) or Proof-of-Work (PoW), this one isn’t a consensus mechanism on a certain network, and it’s also applicable outside decentralized money. That’s because a PoC is only a preliminary demonstration to verify that an idea, project, or method is feasible and practical. In other words, if you have a concept in your mind, and you think it’s actually a good idea to put into practice, you can build something small to test its value and performance. In crypto, a PoC refers specifically to an early demonstration that tests the feasibility and functionality of a new distributed network, decentralized system, coin, or protocol. It’s used to validate ideas, test assumptions, and identify potential issues before full-scale development and deployment. In crypto, a PoC refers specifically to an early demonstration that tests the feasibility and functionality of a new distributed network, decentralized system, coin, or protocol. A lot of interesting projects have started from a simple PoC . So, if you have an original idea to start building something that improves a certain field or system, this would likely be the first station in your journey. simple PoC simple PoC How to make a PoC? Depending on the scale or complexity of your project, you may need more than one party and some budget to start. Let’s say that we’re trying to build a  decentralized voting system in Obyte . The primary goal would be to demonstrate that the Obyte network can enhance electoral transparency and security, addressing issues like fraud and lack of trust in traditional voting systems. Obyte Obyte The project starts with identifying the problem, focusing on improving the integrity and transparency of voting procedures. Obyte is chosen for its secure and censorship-resistant Directed Acyclic Graph (DAG) architecture. The design phase is next and outlines the technical structure. That could include data handling, vote recording, and selection of Dapps or specific features to use . Autonomous Agents on Obyte could manage vote registration and counting securely, for instance. Rigorous testing, including security audits and simulated elections, would ensure the system's reliability and address potential vulnerabilities. Directed Acyclic Graph Directed Acyclic Graph That could include data handling, vote recording, and selection of Dapps or specific features to use Autonomous Agents Autonomous Agents Finally, feedback from stakeholders, such as election officials and tech experts, is essential for refining the PoC, improving the user interface, and enhancing security features. Documenting the entire process provides a comprehensive overview, and presenting the PoC to its intended audience highlights its features and potential applications, paving the way for full-scale development. Considering the above so far, we can divide the process into six steps: define the project's goal, choose a proper decentralized network, design or select the technical structure, conduct rigorous testing and security audits, gather feedback, and document the process. Remember that, even if it doesn’t work as intended in the end, other builders may find it useful for their own ventures. Considering the above so far, we can divide the process into six steps: Some PoCs in Obyte Previous PoCs on Obyte, in collaboration with the Bosch Connectory in Stuttgart, have demonstrated the versatility and effectiveness of this network in various applications. One PoC, for example, involved an Autonomous Agent (AA) managing a Dutch auction, where items are sold in a reverse auction format. Previous PoCs Previous PoCs Autonomous Agent Autonomous Agent In this case, sellers input auction details, such as start price and price drop intervals, via an Obyte chatbot. Buyers place bids, and the AA handles the entire process, including confirming sales, shipping items, and releasing payments upon receipt, all while updating reputation ratings. Another PoC utilized Obyte to demonstrate the functioning of an onsite vending machine filled with power tools at a construction site. Workers would rent tools on a pay-by-use basis, scanning a QR code to pay with Bosch Coins —a customized token also developed in Obyte. The vending machine securely generates new deposit addresses via an Extended Public Key, ensuring the funds' safety even if the machine is damaged or stolen . This setup also provides real-time payment notifications to administrators. The vending machine securely generates new deposit addresses via an Extended Public Key, ensuring the funds' safety even if the machine is damaged or stolen A third PoC involved booking conference rooms using Bosch Coins through the Connectory Member Portal App. Users would book rooms and other services, paying with these tokens. An autonomous agent tracks and distributes Bosch Coin allowances for each department, facilitating efficient inter-departmental charge reconciliation and preventing overspending on Bosch Coins. These are nice samples of past years, but now it's up to new innovators to explore and develop their own Proofs of Concept. With its powerful and decentralized features, Obyte is a good place to start doing it. Obyte Featured Vector Image by Freepik Featured Vector Image by Freepik Freepik Freepik

Educational Byte: What is a Proof-of-Concept (PoC) and How to Make One?

এডুকেশনাল বাইট: প্রুফ-অফ-কনসেপ্ট (PoC) কী এবং কীভাবে তৈরি করবেন?

Lehrreiches Byte: Was ist ein Proof-of-Concept (PoC) und wie erstellt man einen?

Byte educativo: ¿Qué es una prueba de concepto (PoC) y cómo crear una?

Octet éducatif : Qu'est-ce qu'une preuve de concept (PoC) et comment en créer une ?

शैक्षिक बाइट: प्रूफ-ऑफ-कॉन्सेप्ट (PoC) क्या है और इसे कैसे बनाएं?

教育バイト: 概念実証 (PoC) とは何か、そしてそれをどのように作成するのか?

교육 바이트: 개념 증명(PoC)이란 무엇이며 어떻게 만드는가?

Byte Educacional: O que é uma Prova de Conceito (PoC) e como fazer uma?

Образовательный байт: что такое доказательство концепции (PoC) и как его составить?

Eğitim Baytı: Kavram Kanıtı (PoC) Nedir ve Nasıl Oluşturulur?

Byte giáo dục: Bằng chứng khái niệm (PoC) là gì và cách tạo ra nó?

教育字节：什么是概念验证（PoC）以及如何制作概念验证？

Welcome to another edition of Hack marketing diaries by team HackerNoon! This time, we wanna share our learnings and observations on surveillance capitalism and why we didn't make it our business model. There’s a reason we hate those invasive Ads on Facebook. Who would like their personal and critical information to be used to see those creepily relevant Ads? According to - Meta was also involved in a major about its access to the medical data of patients. The company’s pixel tracking tool was collecting their sensitive information from hospitals including the details about their health, appointments, and medical prescriptions. Pure evil. What's even more annoying? Abrupt Ads stoping you from consuming the content. Classic example - Ads on YouTube. the Markup “Major tax filing services such as H&R Block, TaxAct, and TaxSlayer have been quietly transmitting sensitive financial information to Facebook when Americans file their taxes online.” controversy last year Here’s how HackerNoon saw these issues when we used to become not only a publishing company but also a software company: equity crowdfunding “We don't want to advertise the shoes you've considered buying around the web, we do want to surface sponsors that are relevant to the subject matters being read, such as blockchain sponsors on blockchain content. We believe sponsorship is not evil, if done right. What's evil is surveillance. Our sponsors will be by subject matter. Our promotions are like billboards - relevant to the content and not the individual reader. Our sponsorship placements are minimalistic & non-intrusive. No sidebars, no popups, no video ads. We care about reading quality and will never take that experience away from the reader.” Presenting you HackerNoon’s Targeted Ads by content relevancy - where you target the audience interested in content relevant to your company, without invading their privacy or shoving annoying pop-ups down their throats. Our targeted marketing options allow you to avoid the noise and reach the right audience. It’s a win-win for all. Talking about wins - here's an easter egg for your company - use the code 'HackerFriend' during the meeting and avail 10% off on Targeted Ads! Book a call with us to see the demo Here’s how our targeted Ads by content relevancy work: HackerNoon has curated to date 50,000+ technology tags These tags are grouped into the relevant like , , , , , , and more! parent categories AI Web3 Programming Startups Cybersecurity Finance Every story organically gets at least eight relevant tech tags and a parent category Sponsors buy with all the tags and stories. multimodal placements on relevant categories These Ad placements include Banners, Logos, Newsletter ADs, and Audio ADs - what we call truly AIO (Activities, Interests, and Opinions) Optimized for: Brand Recall and Clickability (Get 3x clicks for the same impressions compared to elsewhere) Get quality leads at unbeatable prices, with CPM ~ $7 and CPC ~ $5. Find pricing and details in the attached deck. to learn how AWS, Bosch, Brave, DataStax, Bright Data, Twilio, SonarSource, Algolia, Algorand, Postman, IONOS, and thousands of other tech companies partner with HackerNoon to target their audiences. Book a meeting with us Until next time!

How to Advertise to Your Target Audience without Creeping Them Out

কীভাবে আপনার টার্গেট শ্রোতাদের কাছে বিজ্ঞাপন দেওয়া যায় তাদের আউট না করে

So werben Sie bei Ihrer Zielgruppe, ohne sie zu verschrecken

Cómo anunciarse ante su público objetivo sin asustarlos

Comment faire de la publicité auprès de votre public cible sans l'effrayer

अपने लक्षित दर्शकों को बिना परेशान किए उनके लिए विज्ञापन कैसे करें

ターゲット層を怖がらせずに広告を出す方法

타겟 고객을 소외시키지 않고 광고하는 방법

Como anunciar para seu público-alvo sem assustá-lo

Как рекламировать свою целевую аудиторию, не отпугивая ее

Hedef Kitlenizi Korkutmadan Nasıl Reklam Verebilirsiniz?

Cách quảng cáo tới đối tượng mục tiêu của bạn mà không khiến họ sợ hãi

如何向目标受众投放广告而不让他们感到害怕

and are two of the most transformative forces shaping the modern world. AI has the potential to revolutionize industries by automating processes, enhancing decision-making, and unlocking new insights from vast amounts of data. Artificial Intelligence (AI) blockchain technology Blockchain, on the other hand, offers a decentralized and secure framework for digital transactions, enabling trust and transparency in an increasingly interconnected world. The convergence of AI and blockchain has given rise to a new breed of cryptocurrencies known as AI crypto coins. These digital assets leverage the power of AI to enhance various aspects of the blockchain ecosystem, from improving the efficiency of decentralized networks to enabling more intelligent decision-making in financial markets. In this article, we will explore the concept of AI crypto coins, their underlying mechanisms, and their potential applications. I will try to explain this topic based on my experience of working  with crypto and AI projects. In this article, we will explore the benefits and risks associated with AI crypto coins, as well as how to buy them and what to consider before investing. This article should not be regarded as financial advice. Always remember to DYOR! Understanding AI Crypto Coins Unlike traditional cryptocurrencies, AI crypto coins use machine learning algorithms and natural language processing to analyze market patterns, make predictions, and execute automated trades. This allows them to adapt to changing market conditions in real-time, providing investors with a more agile and responsive investment option. , which are automated computer programs, are a key component of AI cryptocurrencies. They can be used for automated trading strategies, amplifying trading profits by applying these strategies to multiple cryptocurrencies on one or diverse platforms. Some of the most known AI trading bots include Defiquant, Pionex, GunBot, Kryll, Zignaly, Dash 2 Trade, ArbitrageScanner, and Cryptohopper. AI trading bots These bots collect big data on crypto information in real-time and analyze it to derive useful and actionable metrics, with the target of future crypto prices. They can pull information from various social sources, crypto markets, news sites, and other sources to provide valuable insights for investors. AI trading bots are beneficial for modern investors, as they can be configured to run automatically, which is particularly useful for copy trading and building a bot from scratch. They can also be used for social trading, paper trading, backtesting, and strategy design. Benefits of AI Tokens Improved Decision-Making One of the key benefits of AI crypto coins is their ability to improve decision-making. By analyzing large volumes of data, AI algorithms can spot patterns and trends that human analysts might miss, helping traders make more informed decisions. This can lead to better risk management and improved returns on investment. For example, AI algorithms can analyze market trends, social media sentiment, and news articles to predict price movements. This can help traders make more accurate predictions and reduce the risk of losses. Enhanced Network Security AI crypto coins can also enhance network security. For example, some AI cryptocurrencies use facial recognition technology to verify transactions and prevent fraud. This can provide an additional layer of security, making it more difficult for hackers to gain access to sensitive information. AI algorithms can also detect and prevent cyber attacks in real-time, providing an added level of protection for investors. Automation of Functions Another advantage of AI crypto coins is their ability to automate numerous functions in the cryptocurrency market. By using smart contracts, AI algorithms can execute trades automatically, speeding up transactions and saving time. This can also reduce the risk of human error, which can be a significant factor in the fast-paced world of cryptocurrency trading.For example, AI algorithms can automatically execute trades based on pre-defined criteria, such as price movements or market conditions. This can help traders take advantage of opportunities more quickly and efficiently. Notable AI Crypto Tokens 1. SingularityNET (AGI) SingularityNET is a decentralized AI marketplace that enables users to access a wide range of AI services through the use of AGI tokens. By leveraging a decentralized network of AI algorithms, SingularityNET aims to democratize access to AI technology and foster innovation within the crypto AI landscape. As of March 2023, SingularityNET has over 50 AI services available on its platform and has partnered with major organizations such as IBM and the United Nations. 2. Fetch.AI (FET) Fetch.AI is an AI-powered decentralized network that enables the creation of intelligent autonomous agents. These agents can perform various tasks, such as optimizing supply chain logistics, facilitating peer-to-peer trading, and providing personalized recommendations. FET tokens are used to access the Fetch.AI network and incentivize participation. Fetch.AI has raised over $15 million in funding and has partnerships with organizations such as Bosch and Datarella. 3. Ocean Protocol (OCEAN) Ocean Protocol is a decentralized data exchange platform that enables users to securely share and monetize data through the use of OCEAN tokens. By leveraging AI capabilities, Ocean Protocol aims to create a more equitable and transparent data economy, ultimately benefiting data providers, consumers, and developers alike. Ocean Protocol has raised over $20 million in funding and has partnerships with organizations such as Aviva and Roche. 4. Numerai (NMR) Numerai is a decentralized hedge fund that leverages AI algorithms to make investment decisions. Contributors to the Numerai platform can submit their AI models, which are then used to inform the fund's trading strategies. In exchange for their contributions, users are rewarded with NMR tokens. Numerai has over 40,000 data scientists contributing to its platform and has over $1 billion in assets under management. 5. Cortex (CTXC) Cortex is a decentralized AI platform that enables the creation of intelligent smart contracts. By leveraging AI capabilities, Cortex aims to improve the performance, scalability, and security of smart contracts, ultimately leading to the development of more sophisticated and intelligent dApps. CTXC tokens are used to access the Cortex network and incentivize participation. Cortex has raised over $10 million in funding and has partnerships with organizations such as Binance and Bitmain. Risks Associated with AI Crypto Coins However, there are also risks associated with AI cryptocurrencies. The lack of regulatory oversight in the market can create an environment where scams and fraud are more likely to occur. AI cryptocurrencies are also subject to high levels of volatility, which can result in significant losses for investors. Technical issues, such as errors in the smart contract code, can also lead to loss of funds or security breaches. Ethical concerns, such as the potential for bias in decision-making or the impact on employment in the financial industry, should also be considered. How to Buy AI Crypto Coins To buy AI crypto coins, investors need to find a cryptocurrency exchange that supports the specific AI crypto coin they want to purchase. After creating an account and funding it with a payment method such as bank transfer, credit card, or cryptocurrency transfer, investors can use the exchange to buy the AI crypto coin of their choice. Once purchased, it is recommended to transfer the coin to a secure cryptocurrency wallet to ensure the safety of the investment. Ultimately, AI crypto coins have the potential to become a valuable addition to any investment portfolio. One key area where AI crypto tokens could make a significant impact is in the realm of decentralized finance (DeFi). It could lead to the creation of new investment opportunities and the democratization of financial services, making them more accessible to a broader audience. If you’re interested in the most innovative AI projects and research, you’re welcome to subscribe to my newsletter ‘ ’. It’s free! AI Hunters P.S. Check out some of my previous articles at HackerNoon: Google Introduces Gemma: Revolutionary Access to Pre-Trained AI Models Sora's AI Innovation Set to Disrupt Video Content Creation Breaking Down the Next Big Thing in NFTs: ERC-404 Spotlight Gemini 1.5 Unleashes Unprecedented Context for AI Applications The AI Revolution in Journalism: A New Era of Enhanced Reporting DeFi Community Building: A Step-by-Step Guide for Crypto Startups

AI Crypto Coins: When the Power of AI Meets the Blockchain

https://hackernoon.com/startups/country/asia-bengaluru-ka-india Tell us how your startup is changing the world. Zeliot isn't just another tech product; we're transforming the connected mobility landscape. Our mission is to empower partners with world-class, secure mobility solutions delivered through a highly scalable, deep-tech platform deployable on their cloud infrastructure. We envision a future where connected mobility is simple, secure, and accessible for everyone, with data control firmly in the hands of its rightful owners. Our flagship products, Condense and Condense Edge, are making this vision a reality. is a revolutionary, verticalized mobility cloud platform that deploys in just a few clicks on clients' existing infrastructure. It acts as a central hub, ingesting all mobility data from various sources and simplifying data management with a low-code interface. Condense empowers users to build customized mobility solutions based on their specific needs, unlocking the power of real-time data and actionable insights. With Condense, innovation knows no bounds. Condense complements this power with modular, low-memory footprint embedded firmware designed for vehicles. It seamlessly collects and transfers rich datasets from vehicles, enabling over-the-air (OTA) updates for vehicle ECUs. This valuable data fuels crucial insights, optimizes vehicle performance, enhances safety with daily safeguards, and drives cost savings and uptime. Condense Edge Our impact is real and growing. Industry leaders like Royal Enfield, Ashok Leyland, Volvo Trucks, TVS Motors, Bosch, and Here Maps, among many others, have already chosen Zeliot's platform to power their solutions. In 2022, Bosch further validated our vision by acquiring a 14% stake in the company. This is just the beginning – we're excited to continue empowering the connected mobility future, one secure, scalable, and accessible solution at a time. What sets you apart from the competition? The current connected mobility landscape faces two major issues: data security and lack of data ownership. Data often resides in solution provider clouds, creating concerns about confidentiality and potential misuse. Clients encounter various technical and commercial challenges, including: Complex cloud infrastructure: Building and maintaining cloud infrastructure is costly and resource-intensive. Disparate tools and technologies: Integrating multiple tools leads to disjointed workflows and data silos. Dedicated DevOps team: Running these systems requires specialized expertise, adding operational overhead. Huge data volumes: Managing massive data streams from diverse sources can be overwhelming. Lack of ROI: Demonstrating the return on investment for connected mobility solutions can be difficult. Data security and privacy: Data breaches and unauthorized access are major concerns. Limited customization: Generic solutions often fall short of specific needs. High initial investment: Costly upfront investments hinder adoption. Zeliot's Winning Propositions: Data Ownership & Security: Zeliot stands out by deploying our platform on the client's cloud infrastructure. This ensures complete data ownership and control. Neither Zeliot nor any third party can access client data, addressing security concerns and fostering trust. Scalability & Ease of Use: Condense is a mobility vertical cloud platform that scales seamlessly with your needs. It manages all required services for real-time data ingestion, eliminating the need for dedicated DevOps teams. With pre-built connectors and a low-code interface, Condense simplifies data management and analytics for all users. Edge Computing & Secure Updates: Condense Edge enables secure data transfer and device uptime assurance. Remote troubleshooting and updates are facilitated through bidirectional communication, removing the need for manual intervention. Our OTA campaign management ensures smooth and secure updates for your vehicles. Zeliot empowers clients with complete data ownership, secure solutions, and flexible tools to navigate the connected mobility landscape effectively. We go beyond standard offerings, addressing key client challenges and delivering tangible business value. What do you love about your team, and why are you the ones to solve this problem? At , the team isn't just a collection of individuals; it's a powerhouse driven by passion and expertise. What I love most is the infectious enthusiasm everyone brings to every challenge. We share a common vision of transforming connected mobility into a secure, accessible space, fueling our relentless pursuit of innovation. Zeliot Here's what makes us uniquely qualified to tackle the data ownership and security issues in connected mobility: Diverse & Experiential: Our team boasts backgrounds in embedded systems, cloud computing, data security, and automotive engineering. This synergy of knowledge allows us to approach problems from multiple angles and create holistic solutions. Proven Track Record: Many of our team members have extensive experience leading projects for major OEMs and enterprises. This translates into a deep understanding of their specific needs and pain points, enabling us to develop solutions that resonate deeply. Passionate Problem Solvers: We're not just skilled; we're obsessed with finding solutions. We thrive on tackling complex challenges and don't shy away from venturing into unexplored territory. This relentless curiosity fuels our innovation engine. Client-Centric Approach: Every decision we make starts with the client's needs in mind. We actively engage with them, understand their unique challenges, and tailor our solutions accordingly. This collaborative approach fosters trust and long-term partnerships. We possess the talent, experience, and unwavering passion to navigate the complexities of the connected mobility landscape. Our team is not just solving a problem; we're building a revolution. At the moment, how do you measure success? What are your core metrics? Success is gauged through the widespread adoption and endorsement of Zeliot's Platform by such as Royal Enfield, Ashok Leyland, Volvo, Eicher, Tata Motors, TVS Motors, Ampere, Bosch, Here Maps, and numerous others. This robust endorsement signifies the resonance of our solutions within the market and underscores their efficacy in addressing contemporary mobility challenges. industry leaders Furthermore, the strategic alliance with Bosch, evidenced by their acquisition of a 14% stake in Zeliot in 2022, serves as a pivotal milestone in our journey. It not only validates the viability of our vision but also strengthens our position as a frontrunner in the mobility solutions space. In essence, the metric of success is manifested through the growing roster of industry partners and stakeholders who entrust Zeliot. What goals are you looking forward to accomplishing in 2024? In 2024, Zeliot is driven by ambitious goals to further revolutionize the connected mobility landscape. Here are our key highlights: Breakthrough Edge-Based Analytics: Launch a revolutionary edge-based fuel analytics solution. This eliminates the need for external sensors, drastically reducing costs and streamlining data collection. Capture fuel events with 100% accuracy and real-time analysis. This enables precise fuel tracking and optimization, saving valuable resources and reducing emissions. Deliver high-frequency event alerts. By proactively identifying anomalies, operators can minimize downtime and prevent costly repairs. Secure Data Marketplace for Monetization: Onboard more OEMs and create a secure data marketplace. This empowers them to monetize their valuable data by sharing it with authorized stakeholders under agreed-upon terms. Unlock new revenue streams for OEMs and Enterprises. This fosters collaborations and expands the connected mobility ecosystem. Prioritize data security and privacy. Our marketplace leverages advanced security measures to ensure trusted data exchange and transparency. Which trend(s) are you most excited about in 2024? Share your reasons. The above-mentioned goals resonate with the immense potential of the connected mobility market. Industry analysts expect significant growth, with estimates suggesting the market will reach USD 20.5 billion by 2026 and USD 34.5 billion by 2030. This explosive growth signifies the increasing demand for innovative solutions that address data ownership, security, and cost-effectiveness. Zeliot is uniquely positioned to capitalize on these opportunities. Our cutting-edge technology, passionate team, and client-centric approach enable us to deliver solutions that exceed expectations. We believe that in 2024, Zeliot will not only achieve these goals but also establish itself as a leading force in shaping the future of secure and sustainable connected mobility. 2023 had been another crazy year, especially in tech, with layoffs and the Generative AI takeover! Which trend are you most concerned about? Be as brief or as detailed as you like. One concerning trend in the tech industry is the increasing frequency of data breaches in the mobility sector. As transportation becomes more digitized and reliant on interconnected systems, the potential for cyberattacks and data breaches rises significantly. These breaches not only compromise user privacy but also endanger public safety and trust in mobility services. Furthermore, the trend of valuation bubbles poses a significant risk to the stability of the tech industry. With skyrocketing valuations fueled by speculation rather than fundamental value, there's a real danger of a market correction that could lead to widespread layoffs, investor losses, and economic instability. Share your biggest success so far and/or your biggest failure so far. Zeliot's journey has been anything but linear; it's a captivating narrative of pivoting and seizing opportunities. Our greatest success story doesn't derive from a single product launch or milestone; rather, it emerges from a strategic reevaluation of vision and approach. Initially focused on fleet management solutions (FMS) as a Software as a Service (SaaS) offering, we provided customers with real-time asset visibility. However, the landscape of the Indian automotive industry soon underwent a significant shift: manufacturers began integrating telematics directly into vehicles. While some may have viewed this development as a setback, we saw it as a transformative moment. Rather than persisting in the crowded FMS market, we made the strategic decision to pivot towards a dedicated platform for connected mobility. This platform wasn't merely about providing generic solutions; it was designed to empower clients to develop custom, industry-specific applications. This bold maneuver, characterized by strategic foresight and adaptability, ultimately defined our success. This pivot opened doors we hadn't previously imagined. Major Original Equipment Manufacturers (OEMs) and large enterprises seeking specialized solutions turned to Zeliot. Our platform's flexibility and security resonated with them, enabling the creation of tailored applications that addressed their unique needs and unlocked distinct value propositions. In my view, Zeliot's greatest achievement isn't simply becoming the preferred platform; it's about evolving into a trusted partner. By empowering our clients to innovate and flourish in the realm of connected mobility, we're not only making headlines in the industry but also leaving an indelible mark on the very essence of connected mobility itself. We would love your feedback on HackerNoon as a tech publication! How has your experience been with us? As a fellow entrepreneur and tech enthusiast, I've enjoyed reading and engaging with HackerNoon. I appreciate the platform's commitment to diverse voices, thought-provoking content, and fostering a strong community. However, I believe there's room for improvement in a few key areas: Visibility and Reach: While HackerNoon offers valuable content, reaching a wider audience would benefit both readers and contributors. Increased marketing efforts, leveraging cross-platform promotion, and strategic partnerships could significantly impact readership and engagement. Overall, I've had a positive experience with HackerNoon, and I look forward to seeing how the publication continues to evolve and grow in the future. Any words of wisdom you’d like to share with us? In navigating the complexities of the tech industry and entrepreneurship, I'd emphasize the importance of staying true to your vision while remaining adaptable to change. Embrace challenges as opportunities for growth, and prioritize integrity, innovation, and customer-centricity in all your endeavors. Remember, success is not just about achieving milestones; it's about making a meaningful impact and leaving a positive legacy in the world. Keep learning, stay resilient, and never underestimate the power of collaboration and community in driving progress and innovation. Wishing you all the best on your journey of transformation and growth!

Stories, News & Mentions about BOSCH

Bosch’s Stories on HackerNoon

Bosch's News & Mentions