Threats to digitally stored data have existed ever since punch cards were the primary storage medium.The difference now is that data are as much currency as mere information, and therefore a rich target for thieves.

Artificial intelligence (AI) has ushered in an age in which data are expansive, ever-evolving and increasingly at risk of manipulation, if not downright theft.

A fast-growing and logical application of AI is autonomous driving, a.k.a., driverless vehicles. “Bad actors” are hard at work attempting to steal such autonomous-driving AI data through tampering, “key cracking” of flash storage to gain authentication, and outright theft from flash storage.

However, protection strategies can ward off these threats: anti-tampering actions; blocking key cracking; and theft-protection techniques.

In this presentation, Macronix will demonstrate how developers of AI-based autonomous-driving applications can identify attack methods, then take the necessary steps to provide protection against them.