What are the key features of Splunk User and Entity Behavior Analytics?

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 Learn more at https://cybersectools.com/tools/splunk-on-call

What is the pricing for Splunk User and Entity Behavior Analytics?

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. View more details at https://cybersectools.com/tools/splunk-on-call

What are alternatives to Splunk User and Entity Behavior Analytics?

Popular alternatives to Splunk User and Entity Behavior Analytics include: 1. RSA NetWitness UEBA - ML-based UEBA detecting insider threats, anomalies & malicious behavior. (Commercial) 2. Gurucul UEBA - UEBA solution detecting anomalous user/entity behavior via ML models & risk scoring (Commercial) 3. Viettel VCS-KIAN - UEBA solution using ML and big data to detect APTs via behavior profiling (Commercial) 4. Confluera CxDR - Anomaly Detection & Security Insights - ML-powered anomaly detection and UEBA for server and container workloads. (Commercial) 5. Qmulos Q-BA2 - User behavior analytics & audit solution for insider threat detection (Commercial) Compare these tools and more at https://cybersectools.com/categories/human-risk

Who should use Splunk User and Entity Behavior Analytics?

Splunk User and Entity Behavior Analytics is for security teams and organizations that need Anomaly Detection, Insider Threat, Lateral Movement, Machine Learning, SIEM. 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

Splunk User and Entity Behavior Analytics

by Splunk Inc.

ML-based UEBA detecting insider threats via behavioral anomaly detection and risk scoring.

Human Risk Commercial

Visit website

Splunk User and Entity Behavior Analytics

by Splunk Inc.

ML-based UEBA detecting insider threats via behavioral anomaly detection and risk scoring.

Human Risk•User and Entity Behavior Analytics

Commercial

Anomaly Detection Insider Threat Lateral Movement

Visit Website

Updated 21 Feb 26

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Splunk User and Entity Behavior Analytics Description

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 Description

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, Insider Threat, Lateral Movement.