About this document
User Behavior Analytics for Insider Threats by helloworld is a document available to read on EtoBox.
This document discusses how user behavioral analytics (UBA) using machine learning can help detect advanced cyber threats and insider threats that traditional SIEM technologies often miss. It provides an overview of how UBA analyzes user activity data at scale in real-time to build baselines and detect anomalies that could indicate malicious behavior. Specific capabilities highlighted include threat modeling, security analytics, risk scoring, and support for additional data sources. The document encourages
- Author
- helloworld
- Language
- EN