This guide explains how compromised credentials allow attackers to operate as insiders and outlines six methods to detect such threats using behavioral analytics. It focuses on establishing behavioral baselines for users and entities, detecting deviations in real time, enriching events with contextual data, and automatically building incident timelines. Additional capabilities include dynamic risk scoring to prioritize threats and extending detection to AI agents and digital identities. By correlating activity into clear narratives and adding business context, the platform enables faster identification of credential misuse, lateral movement, and data exfiltration. Overall, it demonstrates how behavior-based detection improves accuracy and reduces reliance on static rules.

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