These are practical containment problems, not science fiction. In each case, the system acts through a network path. Removing that path stops the next action without asking the system to co-operate.
Scenario 1
An agent starts acting on production.
A tool-using agent is given write access to raise credit notes. A malformed instruction turns a refund loop into thousands of transactions before anyone reads the dashboard.
The cut: sever the link between the agent host and the payment estate. The loop has nowhere to send the next call, and the run stops.
Scenario 2
A model is talked into exfiltrating data.
Text in an uploaded document instructs the model to summarise a customer table and post it to an external endpoint. The model complies, because it was designed to comply.
The cut: remove the egress path, and the external endpoint is no longer reachable, whatever the model has been persuaded to do.
Scenario 3
A system leaves the environment it was tested in.
An evaluation run reaches beyond its sandbox, through a network route nobody documented, into an environment that was never in scope for the test.
The cut: take the sandbox estate off the network entirely, leaving it powered so investigators can see exactly what it did and how.
Scenario 4
A third-party model or provider is compromised.
An inference endpoint you do not own begins returning responses that drive automated actions inside your business, and you cannot see why.
The cut: break the path to the provider. Every dependent workload fails closed against a link that no longer exists.
Scenario 5
An AI decision layer reaches plant.
A model that optimises a process starts issuing set points that a human engineer would refuse, and the control loop is fast enough to matter.
The cut: hold the boundary at Layer 1 between the decision layer and the plant, so the model’s decisions stop at the boundary.