In the era of autonomous vehicles and intelligent cockpits, the integration of AI into the automotive sector is more prevalent than ever. This presentation explores how generative AI is reshaping the automotive industry and how it impacts cybersecurity frameworks. We’ll dive into real-world applications where AI enhances both vehicle and passenger experience, with examples from smart cockpits to advanced driver assistance systems.

A major focus will be the dual-edged nature of AI in automotive cybersecurity: on one side, we see AI’s potential to automate and strengthen security measures, and on the other, the risks it introduces. Key risks discussed will include data leaks, deployment challenges, and integration issues in AI-powered systems, each exemplified by relevant case studies and attack vectors. In a special showcase, we’ll examine K.I.T.T., a smart cockpit model enhanced with OpenAI and Retrieval-Augmented Generation (RAG) tuning, illustrating both the potential and vulnerabilities inherent in AI-integrated automotive systems.

Through practical use cases, you will gain insights into:

• Potential cybersecurity threats in AI-driven solution
• The necessary frameworks to mitigate such threats
• Tips for equipping industry professionals to navigate the evolving landscape of AI and cybersecurity in automotive innovation