Agent Runtime Governance: The Next AI Infrastructure Layer

Google's Managed Agents announcement marks a significant shift in AI infrastructure, moving from simple tool calling to more complex, persistent execution environments and long-running agent systems. This evolution broadens the potential capabilities of AI models and introduces new governance challenges, as oversight now extends beyond just prompts and PR reviews to include the runtime environment itself. The implications are vast, suggesting a future where AI systems are more integrated and capable, but also necessitating more sophisticated management and regulatory frameworks to ensure responsible use.