Why AI Governance Is Failing—and How to Fix It Without Slowing Innovation

AI adoption is outpacing the ability to govern it—and most organizations are feeling the gap. Shadow AI, ungoverned data flows, and point-in-time assessments that can’t keep pace with modern development cycles are leaving real regulatory exposure on the table. This session cuts through the theory to focus on what actually works: continuous governance models, automation that surfaces risk without slowing innovation, and guardrails that enable responsible AI adoption instead of blocking it.