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Splunk UBA Content Updates

Splunk Built
Overview
Details
Splunk User Behavior Analytics (UBA) is a machine learning-powered solution that helps organizations find unknown threats and anomalous behavior and solves a wide range of insider threat and external attack detection use cases. It uses unsupervised machine learning algorithms to produce actionable results with risk ratings and supporting evidence that augment security operation center (SOC) analysts’ existing techniques for faster action. Additionally, it provides visual pivot points for security analysts and threat hunters to proactively investigate anomalous behavior.

Security landscape is constantly evolving with new and advanced threats found every day. This makes it difficult for enterprises to keep up with the latest threat detection techniques between two consecutive software releases. Splunk UBA’s content subscription service is a delivery mechanism that enables enterprises to bridge this gap and help maintain a good security posture. Through the content updates, Splunk UBA’s security and data science research team continuously improves the efficacy of UBA generated threats and anomalies independent of the software release process.

Splunk UBA content update delivers one or all of the following:
- New or enhanced machine learning data models
- Deterministic security rules
- Threat intelligence

For information on installation and release notes see: http://docs.splunk.com/Documentation/UBA

Release Notes

Version 3.3.1
Sept. 20, 2017

Version 3.2.2
May 26, 2017


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