Gurucul UEBA vs NetWitness Platform

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.

NetWitness Platform is a threat detection, investigation, and response platform for complex IT and OT environments. Its modules include network detection and response, endpoint detection and response, SIEM, SOAR, and UEBA, with additional OT security coverage described. NDR uses full packet capture and metadata analysis to monitor infrastructure and reconstruct sessions. Machine learning and behavioral analytics are described for identifying known and unknown threats and anomalous behavior, with real-time alerting. SIEM ingests logs from over 350 sources, including AWS, Azure, Office 365, and Salesforce, through Syslog, ODBC, SFTP, FTPS, and SNMP. It provides reporting templates and use cases for SOX, PCI, HIPAA, and NERC. SIEM can run on-premises, virtually, or in the cloud, including AWS and Azure. The EDR agent is described for hundreds to 100,000 endpoints with near-zero end-user impact. NetWitness is paid, supports Linux, self-hosted, and web deployments, and lists pricing on request.