Hype Cycle for Data Security, 2017

Archived Published: 28 July 2017 ID: G00314204


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Data is a pervasive critical asset that crosses traditional silo boundaries on-premises and in public clouds. This requires a data-centric security strategy that prioritizes datasets and mitigates evolving business risks such as regulatory compliance and threats from hacking, fraud and ransomware.

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
      • Multiparty Computing
    • At the Peak
      • DLP for Mobile Devices
      • Data Classification
      • File Analysis
      • KMaaS
      • Format-Preserving Encryption
      • User and Entity Behavior Analytics
    • Sliding Into the Trough
      • Cloud Data Protection Gateways
      • Data Sanitization
      • Information Dispersal Algorithms
      • Dynamic Data Masking
      • Enterprise Key Management
      • Cloud Access Security Brokers
      • Cloud Storage Gateways
    • Climbing the Slope
      • Enterprise Digital Rights Management
      • Data Access Governance
      • Data Loss Prevention
      • IaaS Container Encryption
      • Database Audit and Protection
      • Interoperable Storage Encryption
      • Trusted Portable Storage Security
      • Database Encryption
    • Entering the Plateau
      • DLP for Email
      • Fraud Detection
      • Mobile Data Protection for Workstations
      • Tokenization
    • Appendixes
      • Hype Cycle Phases, Benefit Ratings and Maturity Levels
  • Gartner Recommended Reading
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