Why AI Model Security Scanners Are Fundamentally Flawed—A Researcher's Findings

Current AI model security scanners rely on static blocklists that are inherently limited, as researchers have demonstrated by discovering multiple unblocked Python modules capable of enabling code execution. This research highlights that genuine security requires a paradigm shift from threat detection to threat containment through sandboxed execution environments. As ML model adoption accelerates, organizations must understand these critical gaps when deploying untrusted models.