Gurucul UEBA

Gurucul UEBA is an enterprise user and entity behavior analytics and advanced insider threat detection platform powered by machine learning, behavioral profiling, and anomaly risk modeling. The platform ingests, enriches, and analyzes massive volumes of telemetry from across hybrid enterprise IT environments—including identity management systems, endpoint activity, cloud access logs, network traffic, and HR records. Gurucul builds dynamic, self-training behavioral baselines for every employee, contractor, privileged account, and network-connected endpoint, monitoring deviations in real time. Rather than generating high volumes of false-positive alerts, Gurucul’s machine learning engine calculates a unified, risk-ranked score for each entity, linking disparate suspicious activities into chronological threat timelines. This enables security operations centers (SOCs) to uncover elusive threat scenarios such as privileged access abuse, credential harvesting, data exfiltration, lateral movement, and dormant account exploitation before data loss occurs. Gurucul provides automated response playbooks that integrate directly with SIEM, SOAR, and IAM solutions to quarantine compromised endpoints or revoke elevated privileges dynamically. Gurucul UEBA provides actionable threat visibility, cuts triage times, and ensures regulatory compliance.