Gartner Research

Understanding the Value of Enterprise Content-Aware DLP

Published: 10 February 2015

ID: G00271433

Analyst(s): Anton Chuvakin, Ben Tomhave

Summary

Content-aware data loss prevention is increasingly accepted as a standard part of security architecture, even as the market rebalances between enterprise, channel and DLP-lite solutions. This research provides a foundational analysis of the value and composition of E-DLP.

Table Of Contents

Synopsis

Analysis

  • What Is DLP?
    • Types of Content-Aware DLP
  • Drivers and Use Cases
    • Regulatory Compliance
    • Finding Data (Structured or Unstructured)
    • Monitoring Data Movement (Structured or Unstructured)
  • Risks and Common Challenges
    • Unstructured Data and False Positives
    • Tuning, Tuning, Tuning
    • DLP and Data Classification
    • The Impact of Emerging Technologies
  • Pondering the Future of E-DLP
    • Adjacent Technologies
  • Generic DLP Tool Requirements and Architecture
    • DLP Architecture
  • Next Steps: Where to Go From Here?
  • Understand Use Cases and Drivers
  • Be Aware of Type Consolidation
  • Focus on Fingerprinting or Tagging in E-DLP Solutions

Conclusion

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