GARTNER MARKET RESEARCH: DATA MASKING
Gartner® Market Guide for Data Masking
The new Gartner® Market Guide for Data Masking offers a comprehensive overview of today's data masking landscape. Learn how to effectively protect sensitive data, achieve regulatory compliance, and compare leading solutions. Get your copy to evaluate top tools and vendors and make informed decisions for your organization.
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Inside the report
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Explore a range of data masking techniques: Learn about static data masking (SDM), dynamic data masking (DDM), tokenization, encryption, and when to use each.
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Discover the power of synthetic data for privacy: Learn how tabular synthetic data protects sensitive information while preserving its utility for testing and analytics.
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Compare data masking vs. synthetic data: Understand the advantages and disadvantages of each approach to determine the best fit.
- Identify top tools and vendors: Discover providers offering data masking solutions and understand key market trends.
Expert analysis from Gartner
"Data masking can be implemented in four ways....These options combine specific architecture and data transformation approaches. Each option has its own impact on data security and data utility: Static data masking, dynamic data masking, data tokenization, and synthetic data."
