sponsored by IBM
Posted:  22 Jul 2013
Published:  28 Jun 2013
Format:  PDF
Length:  5  Page(s)
Type:  White Paper
Language:  English

There are numerous drivers turning security analytics into a big data problem – from the growing volume of security data to a multitude of security analytics use cases. Unfortunately, legacy SIEM tools simply cannot meet big data security analytics needs, forcing organizations to adopt a new strategy.

This ESG Brief outlines how a big data security solution that combines both real-time and asymmetric security analysis is crucial for incident detection, historical analysis, data sharing and integration, and other vital tasks.

Gain further insight as you explore:

  • Big data security analytics defined
  • The big data security analytics continuum
  • Real-time big data security analytics
  • Asymmetric big data security analytics
  • And more!

Analytic Applications Software | Data Analytics | Data Governance | Data Management | Data Security | Real-time Analytical Software | Real-time Analytics | Security | Security Best Practices | Security Event Management | Security Management | Security Managers | Security Software | Security Systems | Security Threats

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