Gartner Research

How Data Masking Evolves to Protect Data From Insiders and Outsiders

Published: 24 February 2014

ID: G00259571

Analyst(s): Joseph Feiman

Summary

Global-scale scandals around sensitive data losses highlighted the need for effective data protection, especially from insider hackers. Data masking, which is focused on protecting data from insiders and outsiders, should be a must-have technology in enterprises' security portfolios.

Table Of Contents
  • Key Challenges

Introduction

Analysis

  • Use SDM and DDM, and Consider Technology Suites That Offer Both
  • Mask Data in the Big Data Platforms
  • Mask Unstructured Content
  • Use Masking With Cloud Access Security Brokers
  • Evaluate Deidentification Assurances of the Masked Data
  • Consider Data Virtualization and Process Virtualization for SDM
  • Consider Format-Preserving Encryption for Data Masking

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