Episode 41: Detecting Abnormal User Behavior
Attackers often succeed not because they're invisible, but because they mimic normal user behavior—until they don’t. In this episode, we explore how user and entity behavior analytics (UEBA) help security analysts detect when users start acting outside of their established patterns. You’ll learn about common indicators of abnormal behavior such as impossible travel, login attempts from unexpected geolocations, excessive access to sensitive data, and privilege misuse.
We also cover how UEBA tools integrate with SIEM platforms and how they use baselines and risk scoring to elevate the right events for analyst review. This episode connects the dots between identity, behavior, and analytics to give you a practical understanding of how to spot subtle anomalies that may point to insider threats, account compromise, or lateral movement—critical insights for both the exam and your career in security operations. Brought to you by BareMetalCyber.com
