Enterprise AI Governance Has Shifted from Policy to Execution

Enterprise AI governance has shifted from policy discussions to runtime enforcement. With the rise of agentic AI systems, governance failures now surface at runtime, making enforcement crucial. TealTiger operates in the execution layer, enforcing previously approved policies and generating governance evidence. This requires a shift from lifecycle governance to execution-time governance. Engineers should focus on enforcing policies at runtime rather than just defining intent.