Despite 89% of organizations claiming confidence in securing AI-generated code, only 17% have full visibility into it. This gap creates a false sense of security across two critical blind spots: the expanded AI attack surface (prompt interfaces, reasoning compromise attacks, novel exploits generated at machine speed) and AI-generated code that outpaces human review. The post argues enterprises must shift from retrofitted security models to continuous discovery, policy derivation, and build-time enforcement — framed as a 'discover, derive, defend' framework — to achieve justified confidence rather than assumed safety.
Table of contents
The Threat Surface You Can’t SeeThe Development Velocity You Can’t InspectThe Ownership Boundary You Can’t OutsourceAchieving Justified Confidence223 Impressions