Gurucul UEBA

6.2easy start · #13 of 20
in User and Entity Behavior Analytics Software

Free to practise onnot on record
Free trialnot on record
Well documentedyes
Runs where you worknot on record

Runs on self-hosted, Web.

Gurucul UEBA is ranked #13 of 20 in user and entity behavior analytics software on The Geeks Club. It runs on Self-hosted, Web.

Gurucul UEBA plans and pricing

All plans

Gurucul UEBA Not published Pricing not stated on the product page; request a demo gurucul.com · 28 Sept 2026

Compared on user and entity behavior analytics software

Deployment: hybrid
Entity coverage: users, devices, applications, servers, networks, IoT devices
Anomaly methods: ml_based
Response automation: automated

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The record

Purpose: UEBA uses machine learning to learn normal user, device, and application behavior and detect unusual activity that may indicate compromise or malicious behavior.
Detection: Gurucul says UEBA includes more than 5,000 machine learning models and reports 70% fewer false positives.
Risk scoring: The product assigns entities risk prioritization scores from 0 to 100 to help prioritize known and unknown threats.
Investigation: Patented Link Chain Analysis stitches AI agent, user, and entity activity into a contextual case of evidence.
Threat coverage: Listed use cases include insider risk, host and device compromise, lateral movement, data exfiltration, and account or credential compromise.
Audience: Gurucul says UEBA is designed for SOC teams and security analysts, especially at organizations facing advanced threats, limited user activity visibility, or high false positive rates.
Integrations: The platform integration catalog lists connectors for IAM, IGA, and PAM sources, plus SIEMs including Splunk, Microsoft Sentinel, and IBM QRadar.
Data independence: Gurucul says UEBA can use an existing big data environment or a free Hadoop data lake and ingests events at no cost.
Response: The product page says its agentic AI can triage, escalate, and respond while keeping decisions transparent and critical thinking in human hands.
Performance claims: Gurucul reports 58% faster investigations and an 83% reduction in mean time to respond on the UEBA product page.
Limit on baseline timing: Gurucul says built-in models can identify anomalies early, while the behavioral baseline refines over time as more data is collected.
Support: The product page links to Gurucul Support and offers a request-a-demo contact path.
Founded: 2010
Headquarters: El Segundo, California, USA

Where it ranks on The Geeks Club

Best User and Entity Behavior Analytics Software in 2026#13 of 20

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Sources

gurucul.com/products/user-and-entity-behavior-analy· checked 28 Sept 2026
gurucul.com/security-analytics-platform/integration· checked 28 Sept 2026