This guide explores how insider risk is evolving as attackers use legitimate credentials and AI agents expand the risk surface through autonomous activity. It explains why traditional rule-based, single-event detection can miss gradual behavioral changes and why monitoring behavior over time across human and non-human identities is becoming increasingly important.
Key topics include:
Explore this guide to assess insider risk exposure and understand the role of unified behavioral monitoring.