Gurucul UEBA vs Qmulos Q-BA2: 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..

Qmulos Q-BA2: User behavior analytics & audit solution for insider threat detection. built by Qmulos. Core capabilities include Behavioral baseline establishment and anomaly detection, AI/ML-based threat detection, Risk scoring for user behavior..

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. Qmulos Q-BA2 differentiates with Behavioral baseline establishment and anomaly detection, AI/ML-based threat detection, Risk scoring for user behavior.

Gurucul UEBA is developed by Gurucul. Qmulos Q-BA2 is developed by Qmulos. Vendor maturity, funding stage, and team size can be important factors when evaluating long-term viability and support quality.

Gurucul UEBA and Qmulos Q-BA2 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.