Gurucul UEBA vs Splunk User and Entity Behavior Analytics

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.

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