Splunk User and Entity Behavior Analytics
ML-based UEBA detecting insider threats via behavioral anomaly detection and risk scoring.
Splunk User and Entity Behavior Analytics
ML-based UEBA detecting insider threats via behavioral anomaly detection and risk scoring.
Data verified May 2026
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Splunk User and Entity Behavior Analytics (UEBA) is a security capability natively integrated within Splunk Enterprise Security that uses machine learning and behavioral analytics to detect insider threats and advanced attacks. It continuously baselines normal user and entity behavior to identify subtle deviations indicative of account misuse, compromised credentials, and lateral movement. UEBA aggregates risk signals from multiple sources into a single Entity Risk Score per user or entity, enabling SOC teams to prioritize the most critical threats and reduce alert fatigue. It correlates behaviors across users, devices, endpoints, and cloud applications to uncover complex attack patterns spanning multiple systems. Analysts are equipped with enriched alert metadata, peer group comparisons, historical behavioral context, threat timelines, and risk heat maps to support faster, more confident decision-making. Automated threat detection and prioritization using multiple machine learning models continuously monitors for emerging threats without manual intervention. UEBA is natively integrated with Splunk Enterprise Security, unifying detection, investigation, and response workflows within a centralized incident view that combines UEBA behavioral insights with SIEM correlation rules. It is part of Splunk's unified SecOps platform alongside SOAR, SIEM, and agentic AI capabilities.
Splunk User and Entity Behavior Analytics FAQ
Common questions about Splunk User and Entity Behavior Analytics including features, pricing, alternatives, and user reviews.
Splunk User and Entity Behavior Analytics is ML-based UEBA detecting insider threats via behavioral anomaly detection and risk scoring, developed by Splunk Inc.. It is a Human Risk solution designed to help security teams with Anomaly Detection, Lateral Movement.
Splunk User and Entity Behavior Analytics offers the following core capabilities:
1.Behavioral analytics and machine learning to baseline and detect deviations in user and entity behavior
2.Entity risk scoring that aggregates risk signals from multiple sources into a single actionable score
3.Multi-entity correlation across users, devices, endpoints, and cloud applications
4.Real-time risk insights with enriched alert metadata, peer group comparisons, and historical context
5.Automated threat detection and prioritization using multiple machine learning models
6.Threat timelines and risk heat maps for situational awareness
7.Detection of insider threats including account misuse, compromised credentials, and lateral movement
8.Native integration with Splunk Enterprise Security for unified detection, investigation, and response
Splunk User and Entity Behavior Analytics integrates natively with Splunk Enterprise Security, Splunk SOAR, Splunk SIEM. Integration support lets security teams connect Splunk User and Entity Behavior Analytics to existing SIEM, ticketing, identity, and notification systems without custom development.
Splunk User and Entity Behavior Analytics is deployed as a cloud solution, suited to smb, mid-market, enterprise organizations looking to operationalize human risk. The commercial offering is positioned for production security operations with vendor support and SLAs.
Splunk User and Entity Behavior Analytics is built for security teams handling Anomaly Detection, Lateral Movement. It supports workflows including 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. Teams typically adopt Splunk User and Entity Behavior Analytics when they need to human risk capabilities integrated into their existing stack. Explore similar tools at https://cybersectools.com/alternatives/splunk-on-call
Splunk User and Entity Behavior Analytics is a commercial Human Risk solution. For detailed pricing information, visit https://www.splunk.com/en_us/products/user-and-entity-behavior-analytics.html or contact Splunk Inc. directly.
Popular alternatives to Splunk User and Entity Behavior Analytics include:
1.Confluera CxDR - Anomaly Detection & Security Insights - ML-powered anomaly detection and UEBA for server and container workloads. (Commercial)
2.ITrust Reveelium UEBA - SIEM UEBA platform with AI for threat detection, hunting, XDR and SOAR (Commercial)
3.Teramind User Behavior Advisory - Expert advisory service for interpreting user behavior analytics data (Commercial)
4.Gurucul UEBA - UEBA solution detecting anomalous user/entity behavior via ML models & risk scoring (Commercial)
5.Innerworks - User intelligence platform for fraud detection and compliance enforcement (Commercial)
Compare all Splunk User and Entity Behavior Analytics alternatives at https://cybersectools.com/alternatives/splunk-on-call
Splunk User and Entity Behavior Analytics is for security teams and organizations that need Anomaly Detection, Lateral Movement. It's particularly suitable for enterprises requiring robust, commercial-grade security capabilities. Other Human Risk tools can be found at https://cybersectools.com/categories/human-risk
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