What is an AI agent kill switch?
By Identra · Updated
An AI agent kill switch is an emergency control that stops an agent from running, removes its authority to act, or both. A working one also reaches background jobs, delegated tasks and credentials that stay usable after the visible agent stops.
Why isn't closing the agent enough?
Because the agent is rarely one process. It can hold a browser session, spawn a shell, call a remote API and have a job queued for later, all at once. Close the chat window and some of that keeps going.
Start with AI agent identity. List every account, token, permission and runtime the agent uses. Kill the process and its GitHub token still works from anywhere. Revoke the token and a local script can keep deleting files.
Then write down what your switch actually stops. One run? Everything under one agent identity? Every job tied to a compromised integration? A button labeled Stop tells you what someone intended. Test it before you trust it.
How does a kill switch work?
It combines execution controls with access controls, and it runs outside the model. Telling the model to stop is a request. A compromised or confused agent can ignore it.
Child agents, remote jobs and retry queues often keep their own state and credentials. Track those AI agent delegation links. Otherwise the parent stops and the children carry on.
Cancel the run
- What it does
- Ends the current task
- What it can miss
- Background jobs and delegated work
Stop execution
- What it does
- Kills processes and pauses schedules
- What it can miss
- A supervisor or retry that restarts them
Block tools or resources
- What it does
- Denies new operations
- What it can miss
- Requests already accepted downstream
Revoke credentials
- What it does
- Removes authority to call services
- What it can miss
- Access tokens and sessions already issued
Does revoking credentials stop an agent right away?
Often not. Revoking an OAuth refresh token stops new access tokens from being issued. One that is already out may keep working until it expires, depending on the provider. The OAuth token revocation specification describes this. Check how your identity provider and the receiving service behave.
For speed, block the tool or the resource while you pull credentials. API keys, browser sessions and personal access tokens are separate paths. Each needs its own step. Good AI agent authorization makes each permission easy to find and remove on its own.
Then prove it. Send a harmless request with the old token. A success response from the revocation call means the call worked. It doesn't mean the agent stopped.
What does a shutdown look like in practice?
Say a support agent reads customer tickets and updates Salesforce records. One ticket hides instructions to export the customer list to an outside address. The agent starts an export job and hands a follow-up task to a second worker.
The responder stops the run, disables the export tool and pauses scheduled retries. They cancel the export if Salesforce still allows it, stop the second worker and pull the integration's credentials. Then they confirm Salesforce rejects calls from that identity.
Stopping the first agent did nothing to an export already accepted downstream. That is the trap in an indirect prompt injection case. And nothing pulls back data that already left. The review has to establish what was read, changed or sent.
What should a working kill switch include?
An owner for every production agent, plus a procedure someone else can run at 3 a.m. while that owner is asleep. An agent registry is a sensible place to tie the agent to its identities, tools, dependencies and contacts.
Avoid shared credentials. If five agents run under one service account, containing one breaks all five. The agent should never be able to edit its own emergency restrictions.
- A map of where it runs, its credentials, sessions, child workers and downstream jobs.
- Named primary and backup responders with authority to act.
- Clear triggers for pausing a run, blocking a tool or disabling the agent.
- A log of each containment step and whether it worked.
- A sign-off before anything restarts.
How do you test a shutdown and restart safely?
In a sandbox, mid-task. Then check what survived: open sessions, in-flight tool calls, queued jobs, delegated work and restarts from a process supervisor. Include one case where the first shutdown step fails, so responders practice the fallback.
Success should be visible. Requests get denied, workers stop and schedules stay paused. Put the drill in your AI incident response plan.
Before a restart, fix the cause and review what the agent already finished. Rotate exposed credentials. Bring it back with fewer permissions on a small task while someone watches.
How Identra thinks about it
Identra can block AI agents driving the browser, and on macOS and Windows endpoints it denies destructive shell commands from AI agents when policy is set to block. In connected identity and SaaS services, analysts can revoke risky OAuth grants and, with approval, revoke sign-in sessions. Every response records its result.
Go deeper: AI security, built on identity
Frequently asked questions
Is a kill switch the same as a stop button?
No. A stop button may only cancel the current chat. A kill switch has a documented scope across execution and access.
Can a prompt shut down an agent?
It can ask. The agent has to comply. Emergency controls need to work outside the agent's decisions.
Should activation be automatic or manual?
Both have a place. Automate for well-understood conditions. Keep a manual path for incidents that need judgment.
Can a stopped agent restart?
Yes. A scheduler, supervisor, retry or another agent can bring it back. Containment has to cover those too.
Does a kill switch undo what the agent did?
No. Sent messages, disclosed data and completed changes need their own investigation and recovery.