Agentic runtime control: what it is, why it matters, and how to control it

Agentic runtime control is a governance framework that actively intervenes in agent execution beyond simple logging, providing a critical layer between the model and the application to manage tool calls as they occur. Unlike traditional Identity and Access Management (IAM) which authorizes access, agentic runtime control governs real-time actions, using mechanisms like feature flags, policies, and emergency shut-offs to ensure safety and reversibility without relying on human-paced review processes. By implementing a loop of evaluating, wrapping, governing, and cleaning up tool calls, organizations can effectively manage high-risk agent actions, enabling swift rollbacks and ensuring compliance with emerging governance standards. This approach supports the rapid adoption of agentic AI by enabling continuous, machine-paced changes while maintaining necessary control over production environments.

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