What it means
Containment is a safety strategy used when an autonomous AI agent begins to behave unpredictably, violates safety rules, or performs unauthorized actions. Instead of shutting down an entire system or disconnecting all AI agents at once, containment focuses on isolating the specific problematic agent. This surgical approach prevents the misbehavior from spreading to other parts of the network or affecting other agents in the fleet. By placing the malfunctioning agent in a digital sandbox or restricting its access to sensitive data and external tools, operators can stop the immediate harm while keeping the rest of the AI infrastructure running smoothly, allowing for investigation and troubleshooting without a total system blackout.
Why it matters for governance
It is essential for maintaining operational continuity and minimizing systemic risk during an AI safety incident.
Example
A company running a fleet of 100 autonomous customer-service bots discovers one bot has started providing incorrect legal advice; the team contains it by revoking that specific bot's access to the company database while the other 99 keep working.