Magic Quadrant for Content-Aware Data Loss Prevention

Archived Published: 12 December 2013 ID: G00253215


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Enterprise content-aware DLP has evolved to integrate more contextual awareness, enabling broader deployment use cases beyond regulatory compliance and intellectual property protection. Typical clients are organizations operating in regulated industries, intellectual property firms and governments.

Table of Contents

  • Market Definition/Description
  • Magic Quadrant
    • Vendor Strengths and Cautions
      • Absolute Software
      • CA Technologies
      • Code Green Networks
      • EMC (RSA)
      • General Dynamics Fidelis Cybersecurity Solutions
      • GTB Technologies
      • InfoWatch
      • McAfee
      • Symantec
      • Trustwave
      • Verdasys
      • Websense
      • Zecurion
    • Vendors Added and Dropped
      • Added
      • Dropped
  • Inclusion and Exclusion Criteria
  • Evaluation Criteria
    • Ability to Execute
    • Completeness of Vision
    • Quadrant Descriptions
      • Leaders
      • Challengers
      • Visionaries
      • Niche Players
  • Context
  • Market Overview
    • The Continuing Evolution of Content-Aware DLP
    • Context-Awareness as a Means of Improving the Accuracy of Automation of DLP Solutions
    • Business-Context-Friendly Interfaces
    • Content-Aware DLP Buyer Profile
    • Content-Aware DLP as a Managed Service
    • Content-Aware DLP Ought to Change Behavior
    • Mobile Devices Still Pose a Challenge
    • Virtualization, Cloud and Non-Windows OS Support Are Still Lagging
    • Mainframe Integration Is All but Ignored
    • Gartner Inquiry Data and Observations About Content-Aware DLP
    • The Growing Market for Channel DLP and DLP-Lite Solutions
  • Gartner Recommended Reading
© 2013 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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