The Fast-Evolving State of Security Analytics, 2016


Foundational Refreshed: 09 August 2017 | Published: 04 April 2016 ID: G00298030

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Summary

Rapid advances in analytics and machine learning are quickly changing the security landscape. Security managers having problems detecting malicious events should invest in security analytics to enable better threat detection and higher security staff productivity.

Table of Contents

  • Analysis
    • Security Wakes Up to Advanced Analytics
    • Emergence of Advanced Security Analytics
    • Old-School Versus New-School Security Products
    • Comparison of Old-School and New-School Products
      • SIEM and UEBA
      • Intrusion Prevention System (IPS) and Network Traffic Analytics (NTA)
      • Endpoint Protection Platform (EPP) and Endpoint Detection and Response (EDR)
      • Data Loss Prevention (DLP) and Data Exfiltration Analytics
      • Identity and Access Management (IAM) and Identity Analytics
    • Are Advanced Analytics Always Appropriate?
    • What's in Store for the Future?
    • Deep Learning, Supervised Learning and Anomaly Detection Will Come Together in Future Analytics
    • SPA Analysis
    • Recommendations
    • Appendix
      • Security Embraces Advanced Analytics
  • Gartner Recommended Reading
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