placeholder

Leverage Machine Learning

Splunk advances its analytics-driven security vision and security analytics leadership with the latest release of Splunk User Behavior Analytics (UBA) and Splunk Enterprise Security (ES). These releases share data science and machine learning enhancements to provide more enhanced insider threat defense, cyberattack detection and rapid incident investigations.

  • Organizations can now leverage Splunk UBA machine learning throughout the SIEM workflow
  • Teams can enhance insider threat and cyberattack detection using Splunk UBA
  • Rapid investigation of advanced threats using Splunk ES

Analytics-Driven Security Enhancements

splunk UBA machine learning

Organizations can now leverage Splunk UBA machine learning throughout the SIEM workflow

  • Add anomaly-based correlation capabilities to Splunk ES based on the results of Splunk UBA machine learning and statistical modeling
  • Gain deeper context about anomalies relative to users, devices and applications in Splunk Enterprise and Splunk ES

Teams can enhance insider threat and cyberattack detection using Splunk UBA

  • Define how threats are triggered from detected anomalies using the new Threat Detection Framework
  • New attacks coverage encompassing data access and physical data theft
  • Improve precision, prioritization and correlation of threats with new data sources
enhance insider threat and cyberattack detection
rapid investigation of advanced threats

Rapid investigation of advanced threats using Splunk ES

  • Ingest Splunk UBA anomaly data with context for correlation against other alerts, feeds and data for more in-depth investigations


Still Have Questions?