Hype Cycle for Data Security, 2016

Archived Published: 13 July 2016 ID: G00290230


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Data security must evolve to treat data as a pervasive asset that crosses traditional data silo boundaries on-premises and in big data platforms and public clouds. Hacking, fraud, data residency and changing compliance landscapes are challenging the implementation of data-centric security policies.

Table of Contents

  • Analysis
    • What You Need to Know
    • The Hype Cycle
    • The Priority Matrix
    • Off the Hype Cycle
    • On the Rise
      • Blockchain for Data Security
      • Infonomics
      • User and Entity Behavior Analytics
      • Data Classification
      • File Analysis
    • At the Peak
      • Content-Aware Mobile DLP
      • Key Management as a Service
      • Format-Preserving Encryption
      • Information Dispersal Algorithms
      • SaaS Platform Security Management
    • Sliding Into the Trough
      • Cloud Data Protection Gateways
      • Data Sanitization
      • Dynamic Data Masking
      • Cloud Access Security Brokers
      • Enterprise Key Management
      • Cloud Storage Gateway
      • File-Centric Audit and Protection
      • Enterprise Digital Rights Management
    • Climbing the Slope
      • IaaS Container Encryption
      • Data Loss Prevention
      • Database Audit and Protection
      • Interoperable Storage Encryption
      • Tokenization
      • Trusted Portable Storage Security
      • Database Encryption
      • Content-Aware DLP for Email
      • Static Data Masking
    • Entering the Plateau
      • Fraud Detection
      • Mobile Data Protection for Workstations
    • Appendixes
      • Hype Cycle Phases, Benefit Ratings and Maturity Levels
  • Gartner Recommended Reading
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