Top Four Outlier Detection Use Cases
Outliers are patterns in data that do not conform to a well-defined notion of the normal behaviour. The concepts shared in this ebook shall enable you to go beyond the generic SIEM use cases and signature based detection strategies. We’ve compiled a list of popular use cases that cuts across to crucial outliers which needs attention.

Key Talking Points:

  • Detect outliers based on user account activity.
  • How behavior profilers can be leveraged to detect and normalize trends.
  • Set dynamic baselines with profilers.

How You'll Benefit:

  • Ideas to implement dynamic baselines for critical use cases.
  • Ready to use queries for use cases, that can be customised as well.
  • Strategies to increase time to detect and reduce false positives.
Download Your Ebook
By clicking "Submit" - I'd love to hear more about DNIF

Top Four Outlier Detection Use Cases | Free Download