Gartner Research

Hype Cycle for Data Security, 2017

Published: 28 July 2017

ID: G00314204

Analyst(s): Brian Lowans

Summary

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

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