Hype Cycle for Data Security, 2018

Published: 24 July 2018 ID: G00340334


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Data is a pervasive asset that crosses traditional boundaries on-premises and into cloud services. Every business needs a data-centric security strategy to prioritize datasets for mitigation of growing business risks caused by data protection and privacy laws, 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
      • DataOps
      • Blockchain for Data Security
      • Infonomics
      • Multiparty Computing
    • At the Peak
      • DLP for Mobile Devices
      • Privacy Impact Assessments
      • Data Classification
      • Digital Ethics
      • File Analysis
      • KMaaS
      • Privacy by Design
    • Sliding Into the Trough
      • TLS Decryption Platform
      • Cloud Data Protection Gateways
      • Information Dispersal Algorithms
      • Privacy Management Tools
      • User and Entity Behavior Analytics
      • Data Sanitization
      • Secure Instant Communications
      • 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
      • Database Audit and Protection
      • IaaS Container Encryption
      • Self-Encrypting Mass Storage Drives
    • Entering the Plateau
      • Database Encryption
      • DLP for Email
      • Fraud Detection
    • Appendixes
      • Hype Cycle Phases, Benefit Ratings and Maturity Levels
  • Gartner Recommended Reading
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