Autonomy is not static. It is governed at runtime.

RuntimeAutonomy names the operational layer where autonomous capability becomes real-world action. Rather than treating an agent as simply “autonomous” or “not autonomous,” the concept supports continuously determining what an agent may do based on identity, task, environment, risk, delegation, policy, observed behavior, and changing operational conditions.

RuntimeAutonomy.com sits directly inside an emerging infrastructure category. As agents move from recommendations toward independent action, governance increasingly shifts into the runtime itself—where permissions, execution paths, risk, intervention, rollback, and authority can be evaluated continuously. The domain could anchor an autonomous-agent runtime, agent governance platform, autonomy control plane, dynamic-permission system, AI execution layer, physical-AI supervision platform, enterprise agent infrastructure company, or operating layer for safely scaling autonomous systems.