How does advanced UEBA distinguish between legitimate business activity and insider threats?

Modern SASE platforms use User and Entity Behavior Analytics (UEBA) with machine learning to establish baseline behavior patterns for each user, then assign risk scores based on deviations from normal activity. The system analyzes multiple context factors: access timing, geographic location, device type, data sensitivity, and transaction patterns. For example, a sales manager downloading contact lists triggers analysis of whether this occurs during business hours, from usual locations, on managed devices, and follows typical usage patterns. Risk scores automatically recover over time when risky behavior stops, ensuring legitimate users regain full access. Our UEBA deployment provides intelligent threat detection without productivity disruption.