Splunk User Behavior Analytics
Splunk User Behavior Analytics leverages unsupervised machine learning to identify deviations from established behavioral baselines for users, devices, and applications.... Splunk User Behavior Analytics leverages unsupervised machine learning to identify deviations from established behavioral baselines for users, devices, and applications. By visualizing threats throughout the attack life cycle, it enables swift detection and assessment of insider threats and anomalies, drastically reducing raw event noise to actionable insights for security analysts.
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Company Information
- Company: Splunk
- Country: United States
Top Splunk User Behavior Analytics Features
- Unsupervised machine learning algorithms
- Customizable anomaly models
- Visualize threats over kill chain
- Rapid event reduction capability
- Context-rich threat visualization
- Automatic credential phishing detection
- Behavior-based irregularity detection
- Lateral movement detection
- Comprehensive insider threat insights
- Simplified threat stitching process
- Supports 65+ anomaly types
- Supports 25+ threat classifications
- Automation of repetitive security tasks
- Increased analyst productivity
- Rapid incident response times
- Detailed attack root cause analysis
- Device and application behavior monitoring
- Granular feedback on threat severity
- Integrates with market-leading SIEM solutions
- Enhanced threat hunting capabilities.
