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Splunk User and Entity Behavior Analytics review

#9 of 20 in User and Entity Behavior Analytics Software

A Splunk-native UEBA capability for risk scoring, anomaly detection, and investigations.

8.6/10Editor score
Splunk User and Entity Behavior Analytics8.6 Visit Splunk

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

Splunk User and Entity Behavior Analytics is a security analytics capability built into Splunk Enterprise Security Premier. It establishes behavioral baselines and applies machine-learning anomaly detection to users, devices, applications, cloud applications, endpoints, and related security data. The product is designed for security operations teams investigating insider threats, compromised accounts, lateral movement, data exfiltration, and malware. It combines identity resolution, entity risk scoring, contextual intelligence, threat prioritization, and investigation workflows within Splunk.

Its strongest fit is for organizations already working in Splunk Enterprise Security. The capability integrates with Splunk Cloud Platform and Splunk Enterprise, while connectors support Splunk Direct and Splunk Raw Events ingestion. Additional ecosystem connections include Active Directory, CMDB, DNS, DHCP, VPN, cloud data, endpoint data, firewalls, email, DLP, and network IDS/IPS. Identity resolution using authentication, DNS, DHCP, and VPN data can give analysts a connected view of activity across entities rather than isolated alerts.

The published plan is Enterprise Security Premier, which includes User and Entity Behavior Analytics alongside SIEM, SOAR, threat intelligence, detection engineering, and automated threat analysis. Pricing follows a contact-sales model, and there is no free plan. This structure suits teams that want UEBA within an existing Splunk security program, especially where centralized detection, investigation, and response are priorities. Organizations seeking a standalone UEBA product or a tool outside the Splunk ecosystem should consider alternatives with a different deployment and packaging model.

Splunk User and Entity Behavior Analytics pros and cons

  • Where it wins
    • Multi-entity baselining and machine-learning anomaly detection
    • Risk scoring and correlation across users, devices, and cloud data
    • Centralized investigation and response workflows in Splunk
  • Where it doesn't
    • Available through Enterprise Security Premier, not as a standalone product
    • Pricing uses a contact-sales model
    • Its workflows are centered on the Splunk ecosystem

Splunk User and Entity Behavior Analytics fact sheet, pricing and score →

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