Gartner Research

Reality Check on Big Data Analytics for Cybersecurity and Fraud

Published: 16 January 2014

ID: G00257721

Analyst(s): Avivah Litan


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


  • 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

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