Lessons From AI Hacking: Every Model, Every Layer Is Risky
Hillai Ben Sasson and Dan Segev, researchers at Wiz, discovered vulnerabilities in every major AI platform they targeted over two years of research. Their findings, to be presented at the RSAC Conference, highlight the importance of focusing on AI infrastructure security across model training, inference, application, and cloud layers. The researchers emphasize the need for regular security reviews and compliance checks to address the rapidly evolving threat landscape.
https://www.darkreading.com/application-security/lessons-ai-hacking-model-every-layer-risky






