Further, User Behaviour Analytics analyses user activity for detecting malicious insiders or intruders ascertaining users’ credentials and whereabouts and seeing to it if they have been compromised. Security analysts easily view risky users, and their anomalous activities, drilling down into underlying log and flow data contributing and enhancing to a user’s risk score. As an integral and intrinsic component of the security intelligence platform, UBA leverages unique, out-of-the-box behavioural rules and regulations and machine learning (ML) modules for adding user context to network, log, vulnerability, and threat data to detect attacks quickly and correctly.
Main Highlights
Advanced detection
Detects insider threats based on user behavioural anomalies
SIEM integration
Built on top of the app framework for using existing data in SIEM to generate new valuable insights
Compliance & Evaluation
Automate compliance and auditing
Vulnerability assessment, encryption: data at rest
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