Policy Lens: Agent Runtimes Make AI Operations Auditable

From a policy perspective, agent runtimes are the execution layer of AI governance. It is not enough to say a model is safe. Organizations need records of which data the agent accessed, which tools it ran, who approved sensitive actions, and how outputs were stored.\n\nThe compliance burden therefore shifts toward operational logs and accountability. A well-designed runtime gives companies evidence they can show to regulators and limits the blast radius when an agent makes a mistake.\n\n## Builder Implications\n- Audit logs are core compliance infrastructure.\n- Permission and approval flows are governance controls, not just UX.\n- Regulated customers may ask for operating evidence before model benchmarks.