How do I safely roll back or disable an AI agent after a bad deployment?

To safely roll back or disable an AI agent after a bad deployment, implement real-time override mechanisms and design for transactional state rollbacks, ensuring the system returns to a coherent state.

Concrete controls include:

• Real-time Override Mechanisms: Implement "stop buttons" or "abort signals" that allow authorized humans to halt an agent's execution promptly and reliably, leaving the system in a coherent state. This aligns with the NIST AI RMF function of MANAGE-2.3 by providing mechanisms to retire AI systems safely.
• Transactional Rollback Design: Design agent tasks and state to support transactional rollbacks, ensuring that an abort signal results in a full rollback rather than a partial or inconsistent state. For instance, atomic write operations for skills can be rolled back if security scans fail, preventing partially written states.
• Deadman Switches: Configure deadman switches to pause agent fleets if communication with the platform team is lost for a configured interval, forcing agents into a safe state and requiring re-attestation to resume.
• Override Audit Logs: Maintain audit logs for every human override, recording the human's identity, the reason, the agent's prior decision, and the outcome. This ensures accountability and supports oversight.
• Incident Response Plan: Establish an AI/agent incident-response plan for post-deployment monitoring, covering detection, escalation, containment, communication, and learning. This directly addresses NIST-MANAGE-4.1.
• Dynamic Intervention and Action Rollback: Implement runtime controls that allow for dynamic intervention, such as hot-loading policy bundles or temporarily revoking tool capabilities without redeploying. Design agent tools with reversibility in mind, using soft-delete defaults, transactional staging, or two-phase commits for high-stakes actions to preserve the option to undo.