Defensive AI Security & Governance› Agent Goal-Drift Detection›Closing the Loop: Correction, Rollback, and Human Re-Grounding Without Halting the Fleet

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Agent Goal-Drift Detection

1The Goal-Drift Problem: What Drift Is, Why Non-Determinism Makes It Inevitable, and the Detection ObjectiveResearch
2Specifying Intended Behavior: Goal Representations, Invariants, and the Reference Policy to Drift FromResearch
3Detecting Drift at Runtime: Trajectory Distance, Reward-Model Monitors, and Statistical Change DetectionResearch
4The Base-Rate Problem: False-Positive Cost, Drift Budgets, and Calibrated Escalation ThresholdsResearch
5Closing the Loop: Correction, Rollback, and Human Re-Grounding Without Halting the FleetResearch

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Murali Chillakuru

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Closing the Loop: Correction, Rollback, and Human Re-Grounding Without Halting the Fleet

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