Gartner Research

Hype Cycle for Data Security, 2018

Published: 24 July 2018

ID: G00340334

Analyst(s): Brian Lowans

Summary

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

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