Gartner Research

Demystifying Security Analytics: Sources, Methods and Use Cases

Published: 27 March 2017

ID: G00317409

Analyst(s): Anton Chuvakin, Augusto Barros

Summary

Technical professionals focused on security and risk management are pursuing security analytics in search of more effective detection of threats and improved monitoring and operations. This analysis examines security analytics initiatives based on a framework of data sources, methods and use cases.

Table Of Contents

Analysis

  • Security Analytics Defined
    • Analytics for Security
    • Big Data for Security
    • Machine Learning for Security
  • How (and Why) Security Became an Analytics Problem
  • Motivation for Exploring Advanced Analytics Approaches for Security
  • Framework for Understanding Security Analytics
    • Analysis Methods
  • Reported Security Analytics Use Cases
  • Security Analytics and SIEM: A Rocky Relationship
    • SIEM Tools Are Evolving Toward Security Analytics
    • When to Venture Beyond SIEM?
    • SIEM and Analytics: Working Together
  • Business Case for Security Analytics
  • Technology Options for Analytics
    • Build or Buy Decision Framework
    • Success Tips for Build and Buy
  • The Buy Route: Available Products
    • What Product? What Market?
    • UEBA as Security Analytics
    • NTA as Security Analytics
  • What's Next for Security Analytics?

Conclusion

The Details

  • Machine Learning Explained

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