This document details how Duo Trust Monitor enables advanced anomaly detection to proactively identify and remediate compromised accounts. It presents a seven-step process that begins by eliminating manual log analysis, which traditionally consumes significant security team time. Trust Monitor builds a risk profile by prioritizing protected applications, users, locations, and IP addresses, then establishes a baseline of normal authentication behavior. Using proprietary machine learning, it analyzes ingested data to surface actionable security events within 24 hours. The platform provides contextual insights by evaluating multiple variables rather than relying on a single risk signal. Security teams can then triage events, flag suspicious behavior, revoke sessions, or block access entirely.

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