The AI That Never Asked Permission: Building Governance for AI That Keeps Changing
About this session
Most AI governance treats approval as the finish line: a system is reviewed once and assumed safe from then on. In practice, AI keeps changing after approval: models are updated or swapped, agents gain new tools and permissions, and vendors switch on AI features in software the company already owns. This session shows where these side doors are, why one-time approvals miss them, and how to build governance that keeps up as AI changes.