Physical AI safety and security — sensors, data, hardware and runtime assurance

Overview

This Synopsys sponsor article discusses safety and security across physical AI, including autonomous vehicles. It connects training-data quality or manipulation, degraded or spoofed sensors, perception/planning/control interactions, hardware and firmware integrity, authenticated updates and runtime monitoring with a lifecycle approach to system assurance.