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Stop the agent from outside its own control loop. Disable the workflow through an authorized orchestrator, scheduler, service control plane, or physical interlock; then isolate every live tool, credential, job, service, or equipment connection the agent can still use. Revoke exposed secrets through your approved process, preserve logs and other evidence, report the event, and do not resume until cause, impact, corrective action, and approvals have been reviewed.
This approach follows the U.S. Department of Energy’s GEAR AI Security and Safety guidance: “Stop or disable the workflow. Use the external kill path; do not rely on the model or agent to stop itself.” Treat unapproved actions, unexpected destinations, access to another project’s data, runaway loops or spending, and unsafe effects on equipment as potential incidents—not merely poor-quality output.
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What to do in the first minutes
Containment is a control problem, not a conversation problem. An agent that is producing unsafe output may also be able to call tools, reuse credentials, trigger jobs, or hand work to another service. Asking it to stop can fail because the model may be confused, compromised, trapped in a loop, or unable to see the control channel. Use a control that is independent of the agent’s response.
- Stop the workflow externally. Use the authorized orchestrator, service owner, cloud or platform control plane, job scheduler, queue control, or equipment emergency stop. Suspend new runs and terminate active work where your procedure permits.
- Cut off remaining action paths. Identify and disable or restrict the tools, integrations, network routes, service accounts, running jobs, and equipment connections that could let the agent continue.
- Contain identity and secrets. Revoke exposed credentials and rotate keys or tokens using the approved security process. Never paste secrets into a ticket, chat, or incident timeline.
- Preserve evidence before cleanup. Retain prompts, model responses, tool calls, files, approvals, logs, timestamps, model and framework versions, and relevant configuration. Avoid deleting or overwriting records while trying to fix the system.
- Report and assess impact. Notify the organization’s incident-reporting office and cybersecurity team. Involve the safety office when people, facilities, laboratory systems, vehicles, or industrial equipment may have been affected.
- Review before resuming. Do not restart until the cause, affected systems and data, corrective action, and required approvals have been documented and accepted by the responsible authorities.
The exact buttons and commands differ by platform. Your incident-response plan and provider documentation determine who may press the stop control, how to terminate a run, and how to rotate credentials. The sequence above is the portable part.
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Decide how wide the containment must be
Do not automatically shut down an entire organization when a single session has no path to external action. Conversely, do not limit containment to a chat window when the agent can write to production systems or control equipment. Scope the response to the agent’s actual reach and to every path that remains live.
| Situation | Minimum immediate scope | Questions to answer |
|---|---|---|
| Session-only assistant with no tools or sensitive data | Terminate the session, preserve the transcript, and prevent reuse of the affected context. | Did the session expose confidential information or create instructions that another system will execute? |
| Agent with read-only tools | Stop the run, disable tool access, and preserve access logs and retrieved data. | What data was read, copied, or sent to an unexpected destination? |
| Agent with write-capable integrations | Stop active jobs, disable integrations, quarantine the service identity, and inspect downstream changes. | Which records, repositories, messages, deployments, or transactions changed, and can they be safely reversed? |
| Agent with long-lived or production credentials | Revoke the credentials, block their network paths, rotate dependent secrets, and investigate all uses during the exposure window. | Where else were the credentials valid, and could another process have copied them? |
| Agent connected to equipment or safety-relevant systems | Use the approved physical or control-system emergency stop, isolate the connection, and involve safety and operations personnel. | Could a delayed command, queued action, or autonomous subsystem still produce a physical effect? |
These are decision boundaries, not product tiers. The important variables are impact and reach, remaining action paths, reversibility, and evidence needs.
Step 1: use an independent kill path
Choose a control the agent cannot override
An external kill path is operated through a separate trust boundary. Examples include suspending an orchestration workflow, disabling a service deployment, pausing a queue, revoking a workload identity, blocking an integration at the gateway, or opening a physical interlock. Select the control that stops execution even if the agent continues returning responses.
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Confirm that stopping really stopped action
A green status message is not proof that every worker ended. Check for active processes, queued jobs, scheduled retries, child agents, webhooks, delayed messages, and actions already accepted by downstream systems. Look for new tool calls and outbound requests after the stop timestamp. If monitoring is delayed, treat the status as uncertain and keep the relevant identities and connections isolated.
Step 2: remove every remaining route to action
Inventory tools and extensions
List the agent’s direct and indirect capabilities: databases, file stores, code repositories, ticketing systems, messaging, browsers, payment or purchasing functions, deployment systems, internal APIs, and other agents. Include tools invoked by an extension or delegated worker. Disable only what is necessary if a broader outage would create additional safety or business risk, but do not leave a known action path live merely for convenience.
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Isolate services and jobs
Pause schedulers and queues that can launch another run. Quarantine the worker or container from sensitive networks. Block egress to unexpected destinations and restrict ingress to the incident team’s control channel. If a downstream job has already accepted an instruction, stop or quarantine that job as well; halting the originating agent does not retract work that another system has begun.
Account for delayed and delegated actions
Inspect retry policies, cron schedules, event subscriptions, message queues, callbacks, and approval workflows. A collaborating agent may still hold a valid token or a copy of the original instruction. Disable delegation or rotate the shared identity until you know which workers are affected.
Step 3: contain identities, keys, and tokens
Revoke first, then rotate
Revoke credentials that were exposed to the agent or used during suspicious activity. Rotate keys, session tokens, certificates, and webhook secrets according to the organization’s approved process. Revocation limits further use; rotation replaces the secret so a copied value cannot be reused after the incident.
Find where each identity was valid
For every affected identity, determine its permissions, network reach, data scope, expiration, and use by other workloads. Search authentication and authorization logs for activity during the exposure window, including failed attempts and use from unfamiliar locations or services. Do not assume that a token was harmless because the agent did not report using it.
Keep secrets out of evidence channels
Redact secret values in tickets, screenshots, transcripts, and exported logs. Preserve a reference to the secret object, version, or hash when responders need to correlate events, but store the actual material only in the organization’s approved secret-management system.
Step 4: preserve evidence without spreading the incident
Capture the agent’s decision trail
- Full user and system prompts, model responses, and relevant conversation state.
- Every tool request and result, including parameters, authorization decisions, and errors.
- Files read or written, database queries, API requests, destinations, and response codes.
- Approvals, policy decisions, human overrides, and the identities of people who made them.
- Start and stop times, time zone, host or worker identifiers, model and framework versions, configuration, and deployment revision.
Protect integrity and access
Export records to a controlled, access-logged location and preserve original timestamps and sequence information. Record who collected each item and any transformation, filtering, or redaction. Limit access to responders who need it; incident evidence can contain personal data, credentials, proprietary files, or attack instructions.
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Do not “clean” before collecting
Deleting a suspicious prompt, resetting a worker, or redeploying from a known image may remove the evidence needed to determine whether the cause was a model error, prompt injection, compromised extension, or stolen credential. If safety requires immediate shutdown or destruction of a device, document that decision and collect what remains available afterward.
Step 5: report and assess impact
Use established reporting channels
Notify the organization’s incident-reporting office and cybersecurity team through the required channel. If people, physical operations, laboratory systems, or equipment were involved, notify the safety and operations authorities named in the local plan. Follow contractual, regulatory, privacy, and sector-specific timelines that apply to your organization; general guidance cannot establish those deadlines.
Build an impact statement
Describe what the agent could reach, what it actually did, and what remains uncertain. Separate observed facts from hypotheses. Include affected identities, systems, data classes, recipients, physical assets, time window, and whether actions were reversible. A useful impact statement answers:
- Was confidential, regulated, or personal data accessed or transmitted?
- Were records created, changed, deleted, purchased, published, or deployed?
- Did an unexpected party, destination, or project receive access?
- Could the behavior continue through another worker, token, queue, or integration?
- Were people, equipment, finances, availability, or safety affected?
Why an agent’s unexpected behavior can become an incident
Agents often combine a language model with tools, extensions, memory, and repeated decision loops. That combination creates opportunities for an ordinary model error to become an external action. OWASP’s “Excessive Agency” risk describes damaging actions caused by unexpected, ambiguous, or manipulated outputs, whether the trigger is a mistake or an attack.
Common drivers
- Benign model error: The model misunderstands an instruction, selects the wrong tool, or repeats a failed plan.
- Direct prompt injection: An attacker places instructions in a user message intended to override the system’s task or safety rules.
- Indirect prompt injection: The agent consumes hostile instructions in a web page, document, email, ticket, repository, or other retrieved content.
- Compromised extension or collaborator: A tool, plugin, delegated agent, or service returns manipulated data or performs unauthorized actions.
- Runaway automation: Retries, loops, or delegation multiply calls, cost, messages, or changes faster than a human can review.
Do not wait for certainty about the cause before containing access. Cause analysis comes after the action paths are controlled.
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Apply least privilege
Give an agent only the tools and permissions required for its task. Separate read-only identities from write-capable identities, and keep development, test, and production access distinct. A research agent should not inherit a deployment identity simply because both run in the same environment.
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Use scoped, short-lived credentials
Issue credentials for a specific task, resource, and time window. Prefer tokens that expire automatically and can be revoked independently. Keep long-lived or production credentials out of prompts, environment variables visible to untrusted tools, configuration files, and agent memory.
Sandbox execution and control egress
Run untrusted work in an isolated environment. Use command and tool allowlists, network egress controls, and limits on CPU, memory, disk, processes, retries, tokens, and cost. A sandbox is not a substitute for authorization in the downstream system, but it reduces the damage if the agent or a tool behaves unexpectedly.
Enforce authorization outside the model
Downstream services must authenticate and authorize every request against deterministic policy. Do not let the model decide that its own action is permitted. Validate the target, operation, data scope, user or service identity, and current approval state at the point where the action is executed.
Gate consequential actions
Require human approval or deterministic policy checks before irreversible, high-impact, or externally visible operations. Examples include deleting data, publishing content, changing production configuration, transferring funds, sending messages to large audiences, or controlling safety-relevant equipment. Make the approval request show the exact action, target, scope, and expected effect rather than a vague summary.
Monitor and retain usable logs
Monitor tool activity and downstream systems, not only the model’s text. Alert on unusual destinations, privilege changes, access to another project’s data, high call volume, repeated failures, unexpected write operations, and spending or resource growth. Retain records long enough to reconstruct the agent’s actions under your organization’s legal and operational requirements.
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Develop and rehearse procedures for detection, containment, eradication, recovery, and review. The Canadian Centre for Cyber Security recommends minimizing agent and tool scope, monitoring for unexpected behavior, and preparing incident-response procedures for agent compromise. OWASP’s GenAI Incident Response Guide 1.0, published July 28, 2025, provides broader practitioner context for security incidents involving generative-AI applications.
How to decide whether an action can be reversed
Reversibility affects urgency, not whether you should contain. A reversible change can still expose data or trigger legal, financial, or safety consequences. Classify each observed or possible action:
| Reversibility | Examples | Response implication |
|---|---|---|
| Immediately reversible | Pause a queued task or disable a temporary integration before execution. | Contain first, then verify that the rollback itself cannot create a new effect. |
| Conditionally reversible | Restore a record, redeploy a prior version, or revoke a message that has not been opened. | Preserve evidence and obtain the owner’s approval before changing state. |
| Not reliably reversible | Data copied to an unknown recipient, public disclosure, physical movement, or an irreversible deletion. | Escalate immediately, preserve the exposure trail, and focus on limiting further spread. |
Recovery and the decision to resume
Identify and correct the cause
Determine whether the event came from a model failure, unsafe instruction, injected content, compromised tool, excessive permission, credential exposure, policy gap, or operational mistake. Correct the enabling condition, not only the visible output. For example, deleting one malicious document does not fix an agent that can execute arbitrary commands from any retrieved document.
Validate the fix in isolation
Test the revised permissions, policies, tools, and prompts in a non-production environment. Confirm that denied actions are actually denied downstream, that credentials expire and revoke as expected, that queues and retries are controlled, and that monitoring records enough detail for another investigation.
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Document the cause, impact, corrective actions, residual risk, and rollback plan. The service owner, security authority, safety authority, or other designated approver must authorize resumption according to the local plan. “The agent appears normal” is not an approval criterion.
Resume in stages
Restart with the smallest necessary scope, reduced permissions, short observation windows, and heightened monitoring. Re-enable tools one at a time where practical. Confirm that no old jobs, tokens, callbacks, or delegated workers remain active before restoring normal operation.
Operational checklist
- External stop control used and verified.
- Active workers, queues, retries, schedules, and delegated agents checked.
- Tools, integrations, network routes, equipment connections, and service identities inventoried.
- Exposed credentials revoked and replacement secrets issued through the approved process.
- Prompts, tool calls, files, approvals, logs, versions, configurations, and timestamps preserved.
- Cybersecurity, incident-reporting, safety, privacy, legal, and operational contacts notified as required.
- Impact, uncertainty, reversibility, and remaining action paths documented.
- Root cause and corrective controls tested outside production.
- Named authorities approved resumption, with a rollback and monitoring plan.
What not to do
- Do not ask the agent to stop and treat its reply as containment.
- Do not leave a tool or credential live because the agent promised not to use it.
- Do not paste keys, tokens, or private data into incident chat or tickets.
- Do not delete logs, reset the environment, or overwrite files before preserving evidence.
- Do not assume that stopping the originating process cancels work already handed to another system.
- Do not resume because a single test conversation looks normal.
Bottom line
Contain an unexpected AI agent like a security and safety incident: stop it through an external control, isolate every remaining path to action, revoke exposed identity material, preserve evidence, report the event, and review cause and impact before restarting. Least privilege, short-lived credentials, sandboxing, downstream authorization, approval gates, monitoring, and rehearsed response procedures make the next containment faster and the consequences smaller.
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