The Fast-Evolving State of Security Analytics, 2016

Archived Published: 04 April 2016 ID: G00298030

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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
© 2016 Gartner, Inc. and/or its Affiliates. All Rights Reserved. Reproduction and distribution of this publication in any form without prior written permission is forbidden. The information contained herein has been obtained from sources believed to be reliable. Gartner disclaims all warranties as to the accuracy, completeness or adequacy of such information. Although Gartners research may discuss legal issues related to the information technology business, Gartner does not provide legal advice or services and its research should not be construed or used as such. Gartner shall have no liability for errors, omissions or inadequacies in the information contained herein or for interpretations thereof. The opinions expressed herein are subject to change without notice.

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