Gartner® Market Guide
Compare the top data masking and synthetic data generation tools
Selecting the right data privacy tool is no longer just about data masking. This guide explores how modern teams evaluate static and dynamic data masking, tokenization, and synthetic data generation to stay compliant.
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Who should read this report
Infosec teams evaluating methods
Benchmark masking, anonymization, tokenization, and synthetic data across use cases.
Data teams handling masking complexity
Solve the complex challenges of data consistency, realism, and referential integrity.
Analytics & AI teams protecting PII
Gain access to high-fidelity, privacy-safe data in data lakes, data warehouses, and LLMs.
QA teams working with safer test data
Provision production-like, compliant test data, without slowing down software delivery.