White Paper: AI-Defined Vehicle Cybersecurity
As vehicles evolve into AI-defined systems, cybersecurity must shift toward lifecycle governance and shared benchmarks to ensure trusted mobility.
The transition from software-defined vehicles (SDVs) to AI-defined vehicles (ADVs) marks a fundamental shift in how vehicles are designed, operated, and secured. Unlike deterministic systems, AI-driven vehicles introduce adaptive, data-influenced behavior that expands cybersecurity beyond traditional software and network protection, requiring new approaches to establishing trust.
While foundational cybersecurity practices remain essential, static compliance alone is no longer sufficient. As AI introduces new uncertainty, cybersecurity must evolve into a continuous, lifecycle-wide responsibility to ensure systems remain secure over time.
This white paper explores the need for a shared benchmark for AI-defined vehicle cybersecurity, outlining a principle-based framework for consistent implementation across OEMs, suppliers, and global markets. It also introduces lifecycle-oriented security and unified infrastructure approaches to support scalable deployment, regulatory alignment, and long-term trust.
