Gurucul UEBA vs Innerworks: Side-by-Side Comparison (2026)

Gurucul UEBA: UEBA solution detecting anomalous user/entity behavior via ML models & risk scoring. built by Gurucul. Core capabilities include Over 3,000 machine learning models for behavioral analysis, Dynamic risk scoring engine with 0-100 normalized scores, Real-time risk score updates based on activity..

Innerworks: User intelligence platform for fraud detection and compliance enforcement. built by Innerworks. Core capabilities include VPN detection and true geolocation identification, Account farm detection and linking, Device fingerprinting and profiling..

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

Gurucul UEBA differentiates with Over 3,000 machine learning models for behavioral analysis, Dynamic risk scoring engine with 0-100 normalized scores, Real-time risk score updates based on activity. Innerworks differentiates with VPN detection and true geolocation identification, Account farm detection and linking, Device fingerprinting and profiling.

Gurucul UEBA is developed by Gurucul. Innerworks is developed by Innerworks. Vendor maturity, funding stage, and team size can be important factors when evaluating long-term viability and support quality.

Gurucul UEBA and Innerworks 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.