Enterprises are disciplined about deciding who may have access. They are far less equipped to decide what should happen in the seconds when that access is used. Access reviews run quarterly. Incidents run at runtime.
The actor surface changed
For most of computing history, the actor behind a sensitive command was a person. That assumption is gone. Three kinds of actors now execute against production: humans at keyboards, non-human identities such as service accounts and CI jobs, and AI agents that plan and act on their own. They share credentials, repositories, and infrastructure, yet most organizations govern them with separate tools built on separate assumptions. The gaps between those tools are where incidents live.
Grant time is too early. Review time is too late.
Granting access decides what an identity could do. A post-incident review explains what it did. Neither can stop the action in between. The only point where control is real is the moment of execution: the instant a command, an API call, or a tool call is about to run. That moment is measured in milliseconds, which is why it has historically been left uncontrolled.
Control is a decision, not advice
A policy written in a document stops nothing. A warning banner stops very little. Control means the pending action is attributed to an accountable identity, evaluated against policy while it can still be stopped, and then allowed, denied, or held. A system that cannot do that at runtime is observability with good intentions.
People stay in the loop
Full automation is how speed outruns accountability. The answer is tiers. Routine containment should run on its own. Irreversible actions should wait the fifteen seconds it takes a named person to look and decide. Every decision, human or automatic, should land in one reviewable trail.
That is the thesis behind Plaisio: one control plane where humans, NHIs, and AI agents are governed by the same policy, enforced at the moment of execution. We are building it with design partners now. If this matches your world, we would like to hear from you.