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SPECIFICTION
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Gurucul UEBA

gurucul.com

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Spec score 7.3 #11 of 21 in User and Entity Behavior Analytics Software

What it is

Gurucul UEBA is a user and entity behavior analytics product for detecting unusual activity across users, devices, applications, servers, networks and IoT devices. Machine-learning models learn normal behavior and identify activity that may indicate compromise or malicious behavior. Gurucul describes more than 5,000 models and reports 70% fewer false positives. Entities receive risk-prioritization scores from 0 to 100, helping security teams order investigations of known and unknown threats. Link Chain Analysis connects AI-agent, user and entity activity into contextual evidence cases. Listed use cases include insider risk, host and device compromise, lateral movement, data exfiltration, and account or credential compromise. Integrations cover IAM, IGA and PAM sources and SIEMs including Splunk, Microsoft Sentinel and IBM QRadar. Deployment options include self-hosted, web, on-premises, hybrid, SaaS, private cloud, GovCloud and multi-cloud. Pricing is on request.

Spec sheet

Purpose
UEBA uses machine learning to learn normal user, device, and application behavior and detect unusual activity that may indicate compromise or malicious behavior.Read 28 Sep 2026 · gurucul.com
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.Read 28 Sep 2026 · gurucul.com
Deployment
Gurucul describes platform deployment options including on-premises, hybrid, SaaS, private cloud, GovCloud, and multi-cloud.Read 28 Sep 2026 · gurucul.com
Integrations
The platform integration catalog lists connectors for IAM, IGA, and PAM sources, plus SIEMs including Splunk, Microsoft Sentinel, and IBM QRadar.Read 28 Sep 2026 · gurucul.com
Support
The product page links to Gurucul Support and offers a request-a-demo contact path.Read 28 Sep 2026 · gurucul.com
Headquarters
El Segundo, California, USARead 28 Sep 2026 · gurucul.com
Founded
2010Read 28 Sep 2026 · gurucul.com
Data independence
Gurucul says UEBA can use an existing big data environment or a free Hadoop data lake and ingests events at no cost.Read 28 Sep 2026 · gurucul.com
Detection
Gurucul says UEBA includes more than 5,000 machine learning models and reports 70% fewer false positives.Read 28 Sep 2026 · gurucul.com
Investigation
Patented Link Chain Analysis stitches AI agent, user, and entity activity into a contextual case of evidence.Read 28 Sep 2026 · gurucul.com
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.Read 28 Sep 2026 · gurucul.com
Performance claims
Gurucul reports 58% faster investigations and an 83% reduction in mean time to respond on the UEBA product page.Read 28 Sep 2026 · gurucul.com
Response
The product page says its agentic AI can triage, escalate, and respond while keeping decisions transparent and critical thinking in human hands.Read 28 Sep 2026 · gurucul.com
Risk scoring
The product assigns entities risk prioritization scores from 0 to 100 to help prioritize known and unknown threats.Read 28 Sep 2026 · gurucul.com
Threat coverage
Listed use cases include insider risk, host and device compromise, lateral movement, data exfiltration, and account or credential compromise.Read 28 Sep 2026 · gurucul.com

Plans and prices

Gurucul UEBA Priced on request Pricing not stated on the product page; request a demo Read 28 Sep 2026 · gurucul.com

Every Gurucul UEBA plan and price →

Strong points and limits

Strong points

  • Risk scores range from 0 to 100
  • More than 5,000 machine-learning models
  • Integrates with major SIEM platforms
  • Supports automated triage and response
  • Multiple deployment options listed

Limits

  • Pricing is available only on request
  • Behavioral baselines refine as data accumulates
  • Critical response decisions remain with people

Who it suits

Gurucul says UEBA is designed for SOC teams and security analysts, particularly organizations facing advanced threats, limited activity visibility or high false-positive rates.

Verdict

Gurucul UEBA combines behavior modeling, risk scoring and contextual investigation for security operations. Its broad deployment and integration choices suit teams needing visibility across many entity types.

Where Specifiction places it

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