Stories by Yossi Vardi

Expert Voices

Detecting unexpected behavior could be key to securing AV systems

Illustration: Aïda Amer/Axios

Recent hacks of connected vehicles can teach AV developers how to design cybersecurity measures that are cued by anomalies in vehicle behavior.

Why it matters: Today's connected vehicles lack adequate security systems, and autonomous vehicles will have far more vulnerabilities, raising the stakes even higher.

Expert Voices

Machine learning could protect AV systems from cyberattacks

Illustration of car surrounded by artificial intelligence dome
Illustration: Sarah Grillo/Axios

With cars further evolving from “just” hardware into software platforms, the wide range of IT systems in an autonomous vehicle present many opportunities for cyberattacks. Artificial intelligence, especially machine learning technologies, can detect anomalous vehicle behavior or attempted code interference in real time.

Why it matters: Compromised code in the systems that control acceleration, braking, directional guidance and other crucial safety functions can jeopardize lives on the road.