How do you address cybersecurity threats for ADAS and autonomous driving systems?

Cybersecurity for ADAS: 1) Threat analysis - identify attack surfaces (wireless interfaces, OBD, sensors, supply chain), threat modeling (STRIDE, TARA per ISO 21434); 2) Defense in depth - secure boot and firmware verification, ECU authentication, encrypted communication, intrusion detection, secure gateways isolating domains; 3) Sensor security - detecting spoofing attacks (GPS, lidar, radar), anomaly detection for sensor data; 4) Over-the-air (OTA) updates - secure update mechanism, rollback capability, authentication; 5) Incident response - logging, forensics capability, security monitoring. Regulations (UNECE WP.29) mandate cybersecurity management systems. Challenges include balancing security with real-time performance, legacy component integration, and evolving threats. Security is ongoing process, not one-time implementation.