Gartner Research

How to Build Your Own Big Data Security Analytics Capability

Published: 01 June 2015

ID: G00276099

Analyst(s): Anton Chuvakin

Summary

Select enterprises have embarked on the journey toward building their own security analytics capabilities, sometimes using big data technologies and approaches. This assessment summarizes some of the lessons and describes the merits of such an undertaking.

Table Of Contents

Analysis

  • Security Analytics and Big Data Security Analytics
    • Security Analytics
    • Big Data Use for Security
    • Build, Buy, Partner
  • Why Build? Motivation for Exploring Big Data Analytics for Security
    • Common Conditions for Building Your Own Security Analytics Technology
  • Build Your Own: Key Build Success Factors and Prerequisites
    • The Analytics Mindset
    • The Big Three of Required Skills
    • Lessons From Other Big Data Successes
  • How to Build the Analytics Capability
    • Two Analytics Approaches
    • "Analytics First, Big Second" Thinking
    • Secure Your Warehouse
  • Operationally Successful Big Data Use Cases
    • Big Data Scenario 1: Outgrowing Log Management
    • Big Data Scenario 2: Too Much Variety
    • Big Data Scenario 3: Big Search to Big Data
    • Big Data Scenario 4: Big Narrow Data
  • SIEM and Big Data: Working Together
  • Top Challenges to Wider Adoption
  • Near-Future Directions
  • Strengths
  • Weaknesses

Guidance

The Details

  • Big Data for Security: Example Implementation

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