Managing the Risk of Autonomous Agents
Agent risk management is how an organisation bounds the downside of letting software act: capping authority, gating high-consequence actions to a human, monitoring behaviour, and keeping a kill switch and a record. The distinctive risk is speed and scale — an agent can take a wrong action thousands of times before anyone notices — so controls must act at machine speed, and the record must make a failure diagnosable rather than mysterious.
The failure is fast and wide
A human error is bounded by human throughput; an agent error is bounded by compute. Risk management therefore favours tight authority, fast revocation and a kill switch over after-the-fact review alone — and a record detailed enough that when something goes wrong, the cause is a line in the log rather than a guess about a model.
Questions
What is the single most important control?
Bounded authority: an agent that cannot exceed its grant limits the blast radius of any failure, whatever its cause.
Is monitoring enough?
No. Monitoring detects; it does not prevent. It pairs with caps, escalation and a kill switch so a detected problem can be stopped at machine speed.
Where this lives in the estate
FlashyOS — caps, escalation and the kill switch on the mesh
Keep reading
By Michael Gord · published 2026-10-04 · part of the Agentic Encyclopedia. Dates are the day of publication; events are cited at their own dates.