Gartner Research

China Summary Translation: 'Hype Cycle for Data Security, 2016'

Published: 22 November 2016

ID: G00317521

Analyst(s): Jie Zhang , Brian Lowans


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


Hype Cycle for Data Security, 2016


  • 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

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