UEBA

UEBA solutions use behavioral analytics and machine learning to detect insider threats, compromised accounts, and abnormal system activity. We review top tools, use cases, and open-source tools.

Top Open Source UEBA Tools & Commercial Alternatives

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At their core, UEBA solutions aim to identify patterns in data, whether from real-time streams or historical datasets. Open source UEBA tools After reviewing the documentation of each open-source UEBA framework/tool, I listed leading open-source behavior analytics technologies that provide standard SIEM-like capabilities (e.g., alerting, MITRE ATT&CK threat intelligence framework, API-based ingestion from data sources).

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Top 15 UEBA Use Cases for Today's SOCs

Traditional measures such as web gateways, firewalls, IPS tools, and VPNs are no longer sufficient to keep corporate systems secure from modern cyber attacks. UEBA systems help detect modern threats by enhancing the context and quality of security alerts by monitoring non-user entities (e.g., servers) and leveraging machine learning.

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Top 9 User and Entity Behavior Analytics (UEBA) Tools

As a CISO in a highly regulated industry with ~2 decades of cybersecurity expertise, I compared the top 9 user and entity behavior analytics (UEBA) tools that can help SOCs detect abnormal and potentially dangerous user and device behavior: Feature comparison See feature descriptions.