Splunk User and Entity Behavior Analytics vs Upguard User Risk: Side-by-Side Comparison (2026)

Splunk User and Entity Behavior Analytics: ML-based UEBA detecting insider threats via behavioral anomaly detection and risk scoring. built by Splunk Inc.. Core capabilities include Behavioral analytics and machine learning to baseline and detect deviations in user and entity behavior, Entity risk scoring that aggregates risk signals from multiple sources into a single actionable score, Multi-entity correlation across users, devices, endpoints, and cloud applications..

Upguard User Risk: Monitors workforce behavior and identity signals to detect human security risks. built by UpGuard. Core capabilities include Identity, behavior, and threat signal monitoring, Automated risk scoring and prioritization, Shadow AI detection and monitoring..

Both serve the User and Entity Behavior Analytics market but differ in approach, feature depth, and target audience.

Splunk User and Entity Behavior Analytics differentiates with Behavioral analytics and machine learning to baseline and detect deviations in user and entity behavior, Entity risk scoring that aggregates risk signals from multiple sources into a single actionable score, Multi-entity correlation across users, devices, endpoints, and cloud applications. Upguard User Risk differentiates with Identity, behavior, and threat signal monitoring, Automated risk scoring and prioritization, Shadow AI detection and monitoring.

Splunk User and Entity Behavior Analytics is developed by Splunk Inc.. Upguard User Risk is developed by UpGuard. Vendor maturity, funding stage, and team size can be important factors when evaluating long-term viability and support quality.

Splunk User and Entity Behavior Analytics and Upguard User Risk serve similar User and Entity Behavior Analytics use cases: both are User and Entity Behavior Analytics tools, both cover Anomaly Detection. Review the feature comparison above to determine which fits your requirements.