Compare all data privacy methods
Benchmark masking, anonymization, tokenization, and redaction against synthetic data generation to find your ideal mix.
Identify masking strengths and limits
See where masking works and where it fails to maintain referential integrity in modern environments.
Balance privacy, realism, and utility
Evaluate synthetic data generation as a high-fidelity alternative to traditional methods when data utility is your top priority.
Evaluate vendors and market fit
Get Gartner’s view of the vendor landscape, including key capabilities and criteria for selecting your next privacy tool.
