Contact us Menu Bosch Global English Deutsch Home Research Research focus topics Research projects regarding AIoT security AIoT research Research projects regarding AIoT security Bosch Research boosts trust in and the reliability of AIoT Shaping the transformation: the use of artificial intelligence within the Internet of Things The Corona pandemic, climate change and digitalization will change people’s needs and desires. The focus will be on health, sustainability and data security. In order to cope with this rapid transformation and respond in a customer-centric manner, Bosch combines artificial intelligence (AI) and the Internet of Things (IoT) in the AIoT. In the IoT, we connect intelligent products and services, generating added value for our customers. By adding AI, we create a closed value creation cycle and focus even more on users. The data resulting from the use of intelligent, connected products and the interaction between people and machines and machines themselves are the key factor in this context. By linking IoT with AI and machine learning, we can draw the right conclusions from huge quantities of data and react to these data during product engineering in seconds. We learn from the data and can thus improve our products and services on an ongoing basis. AIoT makes it possible to develop new products more quickly. At the same time, we can optimize customers’ products during their lifetime for example by using over-the-air updates or we can add new functions. By using data as a basis for optimizing and personalizing our products, the need for privacy and AIoT security grows. The greater people’s trust in the AIoT, the greater their acceptance. At Bosch Research, we are involved in numerous research projects in order to build this trust. I have always acted according to the principle that I would rather lose money than trust. Robert Bosch Our research results in a secure and reliable AIoT Bosch Research puts in place the technological basis for a more reliable and secure AIoT and thus allows applications and products which are even better geared to customer needs. The focus is always on handling user data in a trusting manner too. After all, customers often ask the following questions when using connected products: How do I keep track of things when dealing with complex processes? How are my data protected against unauthorized access or even manipulation? How is data misuse prevented? Quality of life is based on trust. Bosch Research takes this seriously, provides answers to questions with technological solutions and products and boosts people’s trust in AIoT: With self-sovereign identities (SSI), users are given sovereignty over their passes and certificates in the digital world, self-learning sensors such as those in the embedded AI based siren detection project achieve greater safety during autonomous driving and automated security testing protects software against hacker attacks. Develop, connect, improve: the AIoT cycle The so-called AIoT cycle – a value creation cycle comprising four phases – shows the benefits of linking AI and the IoT: Value creation Connected products provide data. Bosch uses these data during research and development to improve applications and revise or supplement functions. At the same time, we can improve the security and reliability of our products on an ongoing basis and adapt them to meet the individual needs of customers. Making AI in AIoT products secure, robust and explainable is a key issue for us. Research projects such as machine learning testing and AI safety help to achieve this goal. Products in interaction with customers We deliver connected products and services to our customers. When these products are used, they generate data, which we use in the following phases of the cycle to improve products and applications. AIoT products ensure greater security for users. Research projects such as embedded AI based siren detection show this. Data processing The data which are produced when connected products are used are the basis for this phase of the AIoT cycle. They are collected and stored in a structured manner. With technologies such as self-sovereign identities (SSI) and trustworthy computing, we ensure that users can keep control and maintain sovereignty over their data at all times and that these data are always protected. AI algorithms In this phase, we process the data using AI algorithms and machine learning and gain new findings on this basis. The visual analytics research project shows how this process leads to greater security for users: in autonomous vehicles, AI is used for image recognition. In rarely occurring situations where several unusual conditions converge, so-called corner cases, the AI in the image recognition system points out weaknesses. For example when a red traffic light is hard to see from a certain angle in inclement weather. Visual analytics helps to detect blind spots and to automatically supplement the existing data set with the help of a second AI. As a result, shortcomings of the first AI are remedied and overall system accuracy can be increased. Find out more about our projects All Value creation Product and customers Data processing Artificial intelligence Bosch Research launches Carbyne Stack Open-Source Project for Cloud-Native Secure Multiparty Computation Learn more How to build reliable distributed systems? Learn more Why is calibrated trust an issue in automated driving? Learn more DevOps and safety – how do they fit together? Learn more What does tokenomics mean for the Internet of Things? Learn more Privacy engineering – how to create value from data while preserving privacy Learn more Embedded siren detection Learn more Digital identity – enabling secure collaboration with blockchain technology Learn more Assuring safety of Artificial Intelligence Learn more Automated security testing to provide more protection from the start Learn more How to increase robustness of AI perception for safety-critical domains Learn more From research to a commercial AIoT product – Secure Product Fingerprint Learn more More transparent AI with visual analytics Learn more Improving annotation efficiency for deep learning algorithms for computer vision Learn more Driving privacy-preserving computing technologies – Bosch has joined the MPC Alliance Learn more Trustworthy computing – data sovereignty while connected Learn more Machine learning testing - open questions and approaches Learn more Share this on: Research focus topics Read more Get to know our experts Dr. Dakshina Dasari Research Engineer, Dynamic Distributed Systems Dr. Amit Kale Principal senior expert and group manager Dr. Jan Hendrik Metzen Senior Expert in Robust Scalable Perception at the Bosch Center for Artificial Intelligence Liu Ren, Ph.D. VP and Chief Scientist of Integrated Human-Machine Intelligence Dr. Robert Xie Head of IoT@Life Program | Group Leader for IoT & I4.0 at Bosch Research and Technology Center in China Still looking for something? 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