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Agent Containment

Implement Agent Kill Switches

Give authorized operators immediate control to stop rogue agents or groups. Preserve runtime evidence for investigation and safe recovery.

Use Case

Some agent incidents require immediate human authority to terminate activity, regardless of what the agent is attempting to do. PointGuard AI provides emergency kill switches that can stop individual agents or groups when continued autonomy is no longer acceptable.

Challenges

The AI environment creates several recurring security and governance challenges:

  • Critical incidents may require immediate manual shutdown
  • Credential revocation can be too slow and fragmented
  • Agent activity can continue across connected systems
  • Operators need attributable authority over emergency termination

Solution

PointGuard AI provides a comprehensive solution centralizing agent identity, runtime visibility, and emergency shutdown authority:

1. Identify controllable agents. Use Agent Mission Control to maintain trusted agent identity and runtime visibility so operators know exactly which agent or group must be stopped.

2. Define emergency authority. Establish who can trigger a shutdown and under which incident or risk conditions that action is permitted.

3. Stop the agent immediately. Use an emergency kill switch to terminate a single agent or group when continued operation creates unacceptable risk.

4. Review and recover safely. Use recorded runtime activity to investigate the event, correct the cause, and determine when the agent can be restored.

A centralized kill switch gives human operators an unambiguous final control when an autonomous system must be stopped now.

Risks Addressed

Applicable framework risks and controls include:

OWASP Top 10 for LLMs
  • LLM03:2026 Excessive Agency
OWASP Top 10 for Agentic Applications
  • ASI02: Tool Misuse and Exploitation
  • ASI08: Cascading Failures
  • ASI10: Rogue Agents
NIST AI Risk Management Framework
  • GOVERN 2.1: Roles, responsibilities, and communication are documented and clear
  • MEASURE 2.7: AI system security and resilience are evaluated and documented
  • MANAGE 4.1: Post-deployment monitoring and change management are implemented