Gartner® Market Guide
Compare data masking, anonymization, and synthetic data methods
Traditional data masking has its limits. This Gartner® guide explores the tradeoffs between masking, anonymization, tokenization, and synthetic data generation — helping you overcome utility challenges and identify the best alternative for your enterprise.
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Who should read this report
Infosec teams evaluating methods
Understand the main data privacy and compliance methods in the market.
Data teams handling masking complexity
Learn how teams manage consistency, realism, and referential integrity.
Analytics & AI teams protecting PII
See how teams support analytics and AI while protecting sensitive data.
QA teams working with safer test data
See how different methods affect test data quality and non-production use.