Hype Cycle for Privacy, 2017

Archived Published: 20 July 2017 ID: G00314626


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As privacy laws follow a Hype Cycle of their own, security and risk management leaders with a focus on privacy have to take into account both regulatory and technological evolutions. Both are covered in this research, allowing the prioritization of relevant requirements and investments.

Table of Contents

  • Analysis
    • What You Need to Know
    • The Hype Cycle
    • The Priority Matrix
    • Off the Hype Cycle
    • On the Rise
      • UMA
      • Blockchain for IAM
      • Blockchain for Data Security
      • Personification
      • Privacy in China
      • Privacy Impact Assessments
      • Digital Ethics
      • Multiparty Computing
    • At the Peak
      • Data Classification
      • File Analysis
      • Format-Preserving Encryption
      • Privacy by Design
      • Privacy in Asia/Pacific
      • PHI Consent Management
    • Sliding Into the Trough
      • Cloud Application Discovery
      • EU General Data Protection Regulation
      • Tag Management
      • Cloud Data Protection Gateways
      • Data Sanitization
      • Privacy Management Tools
      • Secure Instant Communications
      • Privacy in Japan
      • Dynamic Data Masking
      • Cloud Access Security Brokers
      • Privacy in Russia
      • Data Management Platforms (Advertising)
      • U.S. Privacy Laws
      • E-Discovery Software
    • Climbing the Slope
      • Privacy in South America
      • Consumer Mobile Security Apps
      • Enterprise Mobility Management Suites
      • Test Data Management
      • Cloud Security Assessments
      • Data Disposal Tools for Mobile Devices
      • Data Loss Prevention
      • Database Encryption
    • Entering the Plateau
      • Mobile Data Protection for Workstations
      • Privacy Training
      • Tokenization
    • Appendixes
      • Hype Cycle Phases, Benefit Ratings and Maturity Levels
  • Gartner Recommended Reading
© 2017 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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