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Gurucul UEBA is a commercial user and entity behavior analytics tool by Gurucul. Splunk User and Entity Behavior Analytics is a commercial user and entity behavior analytics tool by Splunk Inc.. Compare features, ratings, integrations, and community reviews side by side to find the best user and entity behavior analytics fit for your security stack.
Based on our analysis of NIST CSF 2.0 coverage, core features, integrations, company size fit, here is our conclusion:
Mid-market and enterprise security teams hunting insider threats and compromised credentials will find Gurucul UEBA's 3,000+ ML models and real-time risk scoring more practical than competitors' black-box approaches; the normalized 0-100 risk engine actually lets analysts act on a number instead of debating severity. Link Chain Analysis ties user behavior to network and cloud signals automatically, covering the ID.RA and DE.CM functions most teams skip. Skip this if your team lacks dedicated UEBA operators or you need tight SOAR integration; Gurucul's strength is forensic depth, not alert velocity.
Splunk User and Entity Behavior Analytics
Mid-market and enterprise security teams with existing Splunk infrastructure will get the most from Splunk User and Entity Behavior Analytics because it catches insider threats and compromised credentials through behavioral deviation, not signatures, and feeds directly into Enterprise Security for faster investigation. The tool covers DE.CM and DE.AE in NIST CSF 2.0, meaning it monitors continuously and analyzes anomalies in real time, which is where UEBA wins over log-based detection. Skip this if you're not already invested in Splunk; the value collapses without tight Enterprise Security integration, and standalone deployment leaves you doing manual correlation work that the platform was designed to eliminate.
UEBA solution detecting anomalous user/entity behavior via ML models & risk scoring
ML-based UEBA detecting insider threats via behavioral anomaly detection and risk scoring.
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Common questions about comparing Gurucul UEBA vs Splunk User and Entity Behavior Analytics for your user and entity behavior analytics needs.
Gurucul UEBA: UEBA solution detecting anomalous user/entity behavior via ML models & risk scoring. built by Gurucul. headquartered in United States. 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..
Splunk User and Entity Behavior Analytics: ML-based UEBA detecting insider threats via behavioral anomaly detection and risk scoring. built by Splunk Inc.. headquartered in United States. 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..
Both serve the User and Entity Behavior Analytics market but differ in approach, feature depth, and target audience.
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