AMDM combines EWMA thresholds with joint Mahalanobis detection to flag goal drift and other anomalies in agentic AI, reducing simulated detection latency and false positives versus static thresholds.
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Adaptive Monitoring and Real-World Evaluation of Agentic AI Systems
AMDM combines EWMA thresholds with joint Mahalanobis detection to flag goal drift and other anomalies in agentic AI, reducing simulated detection latency and false positives versus static thresholds.