This podcast details the use of User and Entity Behavior Analytics (UEBA) to identify and mitigate insider threats within a digital environment. By establishing behavioral baselines for login times, file access, and network norms, organizations can detect anomalies such as sudden data hoarding or impossible travel. The system aggregates various data sources, including authentication logs and cloud activity, to flag deviations that suggest misuse of legitimate access. It illustrates how these risk scores trigger formal investigations and responses. Ultimately, the source emphasizes that while automated profiling is powerful, effective security still requires human oversight and a commitment to user privacy.