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. 

Gartner Market Guide for Data Masking and Synthetic Data

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Who should read this report

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Infosec teams evaluating methods

Benchmark masking, anonymization, tokenization, and synthetic data across use cases.

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Data teams handling masking complexity

Solve the complex challenges of data consistency, realism, and referential integrity.
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Analytics & AI teams protecting PII

Gain access to high-fidelity, privacy-safe data in data lakes, data warehouses, and LLMs.
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QA teams working with safer test data

Provision production-like, compliant test data, without slowing down software delivery.