Monitor Underwriting and Claims Agent Drift

Underwriting and claims agents make thousands of autonomous decisions. An agent that slowly drifts toward erratic or out-of-scope behavior looks identical to a healthy one until complaints or audits reveal the pattern. PointGuard AI monitors agent behavior against its mission, maintains a cumulative trust score, and contains agents that move outside policy.

Gradual drift is hard to detect in high-volume agent decisions.

• Agents can expand scope from analysis into unauthorized actions.
• Small behavior changes accumulate across thousands of decisions.
• Teams lack telemetry connecting decisions to agent identity and mission.
• There is no tested way to pause an agent once drift is suspected.

Agent Mission Control and Guardian Agent combine behavioral monitoring, trust scoring, and containment.

1. Define each agent's mission. Register owners, permitted tools, data scopes, and expected behavior for underwriting and claims agents.

2. Score behavior continuously. Track goal drift, scope violations, anomalies, and policy results in a cumulative trust score per agent.

3. Alert and contain. Alert owners when trust drops. Restrict tools, require approval, or use kill switches when behavior presents unacceptable risk.

4. Investigate with full telemetry. Reconstruct agent actions, decisions, and enforcement events to correct the agent before it resumes.

• OWASP Top 10 for LLMs: LLM06 Excessive Agency, addressing agents acting with excessive autonomy.
• OWASP Top 10 for Agentic Applications: ASI08 Cascading Failures and ASI10 Rogue Agents, covering drifting agents whose errors spread into downstream decisions.
• NIST AI RMF: MEASURE monitors performance; MANAGE supports intervention; MAP defines operational limits; GOVERN establishes oversight authority.