Automotive silicon in the era of AI, functional safety, and cybersecurity
Automotive silicon design is entering a phase where functional safety, cybersecurity and artificial intelligence (AI) can no longer be treated as separate concerns. In connected, software-defined vehicles, safety outcomes depend not only on protection against random hardware faults, but also on resilience to malicious interference and software vulnerabilities. As a result, many of the decisions that determine system safety are now made at the silicon architecture level.
When ISO 26262 was first published in 2011, it marked a major step forward in structuring functional safety for automotive electronics. But the vehicles being designed today are fundamentally different. Autonomous driving, electrification, AI-based perception, vehicle-to-everything (V2X) connectivity, and centralized compute architectures were not primary considerations at the time.
The core objective remains unchanged: to avoid hazards to people. However, the way this objective is achieved is now deeply tied to how safety is architected into semiconductor devices.
To read the full article, click here
Related Semiconductor IP
- ASIL B / ISO 26262 and ISO 21434 Compliant 1G-25G MACsec Security Module
- Embedded Hardware Security Module (Root of Trust) - Automotive Grade ISO 26262 ASIL-B
- 8-stage superscalar processor that supports ISO 26262 ASIL (Automotive Safety Integrity Level) -D level functional safety for automotive applications
- 32-bit RISC-V embedded processor with TÜV SÜD ISO 26262 ASIL B certification
- 32-bit CPU IP core - ISO 26262 Automotive Functional Safety Compliant
Related Blogs
- UEC-LLR: The Future of Loss Recovery in Ethernet for AI and HPC
- Analog Design and Layout Migration automation in the AI era
- Pasteur’s Magic Quadrant in AI: The Fusion of Fundamental Research and Practical
- Silicon-proven LVTS for 2nm: a new era of accuracy and integration in thermal monitoring
Latest Blogs
- Automotive silicon in the era of AI, functional safety, and cybersecurity
- JPEG XS Officially Joins GenICam, The Machine Vision Standard Managed By EMVA
- Beyond PCIe Compliance: Why Stress Testing Is Crucial for Edge AI Deployments
- Why Vision LLMs Force A Rethink Of Edge AI Hardware
- eFPGA: The ASIC Power-Up, Not an Off-the-Shelf Substitute