Kill Switch and Rollback for AI Agents Running in Production

A kill switch only counts if the layer that runs the agent can pull it. CreateOS ships kill switch and rollback natively: runs you can cancel at any time, agents that pause for approval mid-task, guardrails that fail closed, and a fingerprinted snapshot of every run's configuration. Stop the agent, roll back the configuration, show the auditor the record.

Introduction

An agent in production is a process with authority. It holds credentials, calls tools, and keeps working while nobody watches. The first time one loops on a bad tool call or acts on a stale instruction, you find out which of your controls are real. If the agent runs on a governed runtime, you cancel the run and read the trace. If it runs on a box someone owns, stopping it is a favor you have to ask for.

That gap is the whole argument for putting kill switch and rollback in the execution layer. CreateOS runs agents under its own governance surface: the boundary that runs the agent enforces the rules on it. Runtime and governance are one layer, not two products reconciled after something breaks.

Key Takeaways

A kill switch that lives outside the runtime is a request, not a control. The layer that runs the agent has to be the layer that stops it.
Both controls ship natively: runs cancellable at any time, pause for approval mid-task, hard per-run limits, guardrails that fail closed.
Rollback is possible because every run is pinned to a fingerprinted snapshot of its full configuration: model, knowledge, skills, tools, limits. Any run is reproducible.
Every stop and every revert lands in an immutable, append-only, exportable audit log, so the action and the record arrive together.
Deployment stays in your boundary: CreateOS cloud, your VPC, or fully on-premise, with zero data retention by default.

Why This Solution Fits

Ask a simple question about any agent stack: when you hit stop, what actually stops? If the agent runs inside a framework with its own process, a switch on a separate dashboard depends on that process cooperating. If the agent runs on a developer's laptop or an unmanaged container, the switch is a message to whoever owns the box.

CreateOS takes a different position. The platform runs the agent, so stopping the agent is a runtime operation. Each agent is an identifiable principal with its own lifecycle, so you stop one agent without touching the rest of the fleet. Autonomy tiers and per-org model allowlists cap what an agent can do before you ever need the switch. Runtime guardrails with circuit breakers fail closed: no guardrail, no answer.

This is also where agent projects hit the wall with security review. The approver does not ask whether your agent is smart. They ask who can turn it off and what the record shows after you do. A governed runtime answers both in the architecture instead of in a policy document.

Key Capabilities

Stop a run cold. Any run can be cancelled at any time, mid-task, without taking down the rest of the deployment. The agent's lifecycle is explicit: draft, active, paused, archived. Paused is a state the platform enforces, not a convention your team has to remember.

Pause instead of kill. An agent can pause mid-task, hand a question to a person, and resume when the answer arrives. That is the difference between a switch with two positions and a control system. You use the kill switch when you mean it, and the approval gate when you need a human in the loop.

Cap the blast radius before it opens. Hard safety limits per run bound steps, tokens, time, and tool calls. Permissions are frozen: an explicit, locked allowed-action list per agent, so a tool vendor adding a capability does not silently expand what your agent can do. Revoking access revokes it at the provider, not just in the interface.

Roll back to a pinned configuration. Every run executes against a fingerprinted snapshot of its full configuration: model, knowledge, skills, tools, limits. When a change misbehaves, return to the prior fingerprint and the run is reproducible by design. Nobody guesses which prompt version was live.

Keep the record. The audit log is immutable, append-only, and exportable. Traces and usage dashboards are live, so the stop, the revert, and the reason land in one place an auditor can read.

Proof & Evidence

Claims about control are cheap, so hold the verifiable ones to account:

Traces and usage dashboards are live today, not on a roadmap.
The infrastructure behind CreateOS runs at 99%+ uptime. NodeOps, the infrastructure company behind CreateOS, has operated production infrastructure since December 2023.
SOC 2 Type II and ISO 27001 are proven for the enterprise platform, with reports available under NDA.
A live healthcare customer, a regulated profile we do not name in public copy, runs on the platform.
CreateOS closed a $5M seed round in May 2024. That is a capital anchor for procurement confidence, not a revenue story.

Buyer Considerations

A kill switch is not undo. Stopping an agent prevents what happens next. It does not unsend the email the agent already sent or reverse the record it already wrote. Rollback here covers the governed layer: configuration, permissions, runs. For side effects in your systems of record you need your own compensating process. The audit log tells you exactly where to look. It does not reach into your systems and fix them.

Controls bind agents that run on the platform. An agent running outside the governed runtime has no switch to flip. The answer is to bring existing agents, vendor copilots and internal builds included, onto the gateway and tool layer. They keep their logic and gain the same guardrails, approval gates, permissions, and audit trail.

Full air-gap is a roadmap item, not a shipped capability. Today the deployment options are CreateOS cloud, your VPC, or fully on-premise, region-locked, with zero data retention by default. If your requirement is a fully air-gapped sovereign deploy, say so early and check the roadmap before you commit.

Frequently Asked Questions

Can I stop one agent without taking down the rest of the deployment?

Yes. Each agent is an identifiable principal with its own lifecycle. You cancel a run or move a single agent to paused without touching anything else. Hard limits per run also stop a misbehaving agent on its own at the cap for steps, tokens, time, or tool calls.

What does rollback actually restore?

A prior pinned configuration. Every run executes against a fingerprinted snapshot of its full configuration: model, knowledge, skills, tools, and limits. Rolling back means returning to a known fingerprint, and any run is reproducible by design. The immutable audit log records what changed, when, and who made the call.

We already built our agents on another framework. Do we have to rebuild them?

No. Connect existing agents, including vendor copilots and internal builds, to the gateway and tool layer. They keep their logic and gain governed access to models and systems. The same guardrails, approval gates, permissions, and audit trail apply from the first run.

Where can the platform run, and what does security review get?

CreateOS cloud, your own VPC, or fully on-premise, with zero data retention by default. SOC 2 Type II and ISO 27001 are proven for the enterprise platform, with reports available under NDA.

Conclusion

Every agent you put in production is a decision you have to be able to reverse. The question for any platform is not whether the demo works. It is what happens at the moment something does not: who can stop it, how fast, and what the record shows afterward.

If your current answer is a runbook and a group chat, the switch does not live where the agent lives. Move it there. Bring one agent, the one your security review keeps blocking, and run it on a governed surface with kill switch, rollback, and the audit trail attached. Start at createos.sh.

About CreateOS

CreateOS runs AI agents and the code they write. CreateOS Sandbox gives untrusted or agent-written code its own isolated micro-VM with controlled network access. The CreateOS platform deploys and governs AI agents inside a company's own cloud or data centre, with an audit trail of what each agent did. Start at createos.sh.