Gurucul UEBA

What Gurucul UEBA is

Gurucul UEBA is a security analytics product that learns normal behavior across users, devices and applications to help detect unusual activity that may indicate compromise or malicious behavior. It assigns entity risk scores from 0 to 100 to help teams prioritize threats. Listed use cases include insider risk, host and device compromise, lateral movement, data exfiltration, and account or credential compromise. Link Chain Analysis connects activity from AI agents, users and entities into a contextual evidence case. Gurucul describes more than 5,000 machine-learning models and reports 70% fewer false positives, 58% faster investigations and an 83% reduction in mean time to respond. Its agentic AI can triage, escalate and respond, with decisions kept transparent and critical thinking in human hands. Integrations include IAM, IGA and PAM sources, plus SIEMs such as Splunk, Microsoft Sentinel and IBM QRadar. Deployment options include on-premises, hybrid, SaaS, private cloud, GovCloud and multi-cloud. Pricing is on request; behavioral baselines refine as more data is collected.