The article discusses a shift in AI governance strategies from focusing on observability—monitoring and understanding AI system behavior—toward implementing provable control mechanisms that can demonstrate accountability and safety. This transition reflects industry recognition that simply observing AI systems requires more robust frameworks for ensuring compliance and preventing misuse. The move represents an evolution in how organizations approach oversight and regulatory requirements for artificial intelligence deployments.