We use the solution to feed telemetry data from the network into the collective for display-only. We haven't yet come to a point where we have decided on the process of the status for subsequent operational automation.
Splunk User Behavior Analytics Overview
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Download the Intrusion Detection and Prevention Software (IDPS) Buyer's Guide including reviews and more. Updated: July 2022
What is Splunk User Behavior Analytics?
Splunk User Behavior Analytics is a behavior-based threat detection is based on machine learning methodologies that require no signatures or human analysis, enabling multi-entity behavior profiling and peer group analytics â for users, devices, service accounts and applications. It detects insider threats and external attacks using out-of-the-box purpose-built that helps organizations find known, unknown and hidden threats, but extensible unsupervised machine learning (ML) algorithms, provides context around the threat via ML driven anomaly correlation and visual mapping of stitched anomalies over various phases of the attack lifecycle (Kill-Chain View). It uses a data science driven approach that produces actionable results with risk ratings and supporting evidence that increases SOC efficiency and supports bi-directional integration with Splunk Enterprise for data ingestion and correlation and with Splunk Enterprise Security for incident scoping, workflow management and automated response. The result is automated, accurate threat and anomaly detection. Splunk User Behavior Analytics was previously known as Caspida, Splunk UBA.
Splunk User Behavior Analytics Customers
8 Securities, AAA Western, AdvancedMD, Amaya, Cerner Corporation, CJ O Shopping, CloudShare, Crossroads Foundation, 7-Eleven IndonesiaSplunk User Behavior Analytics Video
Splunk User Behavior Analytics Reviews
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Buyer's Guide
Intrusion Detection and Prevention Software (IDPS)
July 2022

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