As AI systems evolve from decision-support tools into systems capable of autonomous action, traditional governance models are becoming increasingly challenged. Most governance approaches were designed for deterministic systems operating under direct human oversight - not probabilistic AI systems operating at scales and speeds beyond human capability.
This webinar is designed to help security and business leaders understand how AI changes governance requirements and what practical steps organizations should take to establish meaningful oversight and control.
Rather than focusing solely on AI risk awareness, the session will provide a practical framework for connecting AI risk to actionable security controls and runtime governance strategies.
Key Themes:
- Why traditional governance approaches break down in AI environments
- How AI changes risk, decision-making, and accountability
- The importance of connecting governance to runtime behavior and operational controls
- Practical approaches organizations can implement today
Session Focus:
HiddenLayer experts will introduce a framework that helps organizations map:
Risk → Decisions → Controls → Runtime Behavior
The session will also explore:
- Common gaps in current AI governance strategies
- Areas where organizations may be over or under investing
- A practical framework to evaluate AI trust and security posture
