Gurucul UEBA

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About

Gurucul UEBA is ranked #8 of 18 in user and entity behavior analytics software on Inferse. It runs on Self-hosted, Web.

Compared on user and entity behavior analytics software

Deployment: hybridgurucul.com
Entity coverage: users, devices, applications, servers, networks, IoT devicesgurucul.com
Anomaly methods: ml_basedgurucul.com
Response automation: automatedgurucul.com

Facts

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