RBEI Contributes to an Industry-Led Adversarial Machine Learning Threat Matrix Framework

Date:February 29, 2024

Author name:

Date:February 29, 2024

Author designation:

Manojkumar Parmar (RBEI/ETS) – Informative Announcement

Artificial Intelligence systems are transforming industries and thus improving the everyday lives of people across the globe. Organizations are deploying AI in not just enhancing their current business models but are also growing their businesses by providing differentiated offerings that have AI at the core of the solution. Bosch has been one of the earliest adopters of Artificial Intelligence in the industry sectors that we operate in and we make sure that we stay on the cutting edge of global AI technologies. We strongly believe that the adoption and effective deployment of AI technology along with IoT will be crucial in driving economic and social progress across the world. However, one of the most important factors that are hindering the speed of adoption of AI systems is the fear of security risks, a less explored but critical dimension of AI products and services. Artificial Intelligence and Machine Learning technologies are built to work with a humungous amount of complex data more than most other kinds of technologies and this poses unique security risks that are concerning. (learn more)

Our Collaboration

 

Our Collaboration

As public opinion around these technologies continues to be mixed with fear and misinformation, at Bosch, we believe that, in an increasingly connected world, building trust in AI systems is even more crucial than utilizing cutting-edge solutions.(learn more). To contribute to this goal of building trust in AI systems, RBEI partnered with MITRE, Microsoft, and 10 leading organizations including IBM, NVIDIA and Airbus to create an Adversarial Threat Matrix. We are extremely delighted to have contributed to the release of the Adversarial ML Threat Matrix, an industry-focused open framework, empowering organizations to detect, respond to, and remediate new generation cyber threats against AI systems. We believe that the framework will help the community to identify and understand the cyber threats to make AI systems much more secured, and hence pave the way for increased trust in the AI system and accelerated adoption.

To learn more about our collaboration and the Adversarial ML Threat Matrix, visit MITRE’s Github page along with MITRE’s announcement (link here) and Microsoft’s announcement (link here). This initiative is a part of Bosch’s ongoing effort and commitment to act responsibly following the Bosch values of quality and reliability when developing and using AI products (learn more). Bosch Code for Ethics for AI was developed to provide a guideline to engineers and managers to build a trustworthy AI system that is safe, secure, and explainable. The Code of ethics examines both the benefits of AI and the ethical red lines it must not cross. The code makes Bosch’s strategic imperative fit for the future and insists that artificial intelligence be the enabler for solving our world’s most pertinent previously unsolvable problems.

For any queries please contact us on Manojkumar.Parmar@in.bosch.com

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