Reality Check on Big Data Analytics for Cybersecurity and Fraud



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Fast access to big data is fueling sharp analytics that find malicious security events. We delineate areas where enterprises are seeing results, and note the market suppliers that enable them.

Table of Contents

  • Analysis
    • An Example of Hard Savings
    • An Example of Timeliness
    • Issues Raised and Related Requirements
    • Big Data Analytics Architecture
    • Three Domains of Big Data Analytics Vendors for Security and Fraud
      • Domain 1: Enhance Existing Security Systems With Canned Analytics
      • Domain 2: Combine Data and Correlate Activity Using Custom or Ad Hoc Analytics
      • Domain 3: External Cyberthreat and Fraud Intelligence
    • Conclusion
  • Gartner Recommended Reading
© 2014 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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