SN 1094: AI Patching Shortcomings - Should You Trust AI-Generated Code?
Summary
In this episode, Steve Gibson discusses new research showing that AI models are significantly worse at fixing vulnerabilities than finding them, highlighting the inherent difficulty of "architectural instruction data separation" in LLMs. He proposes a solution where a deterministic "dialog manager" monitors the neural network in real-time to detect and abort role confusion attacks. The show also covers a critical security discovery of pre-installed backdoors in white-labeled Chinese routers, a listener’s SSD performance graph demonstrating charge drift, and various listener feedback on AI s…
Listen ad-free on Castria