Test Data Management
Synthetic Data Generation: Mage Data Identities™
Organizations need realistic data for application development, testing, and analytics-but using production data creates significant privacy and compliance risks. Traditional synthetic data solutions often produce unrealistic results, lose critical demographic distributions, or fail to maintain consistency across enterprise systems.
Mage Data Identities™ offers a revolutionary approach that works like a “witness protection program” for your sensitive data. Instead of simply masking individual fields, Identities™ creates complete synthetic personas that replace real individuals across your entire data landscape. Each real person is mapped to a realistic but entirely fictional identity-with matching demographics, consistent attributes, and zero reversibility. The result is test data that looks and behaves like production data, maintains referential integrity across all connected systems, and contains absolutely no real personally identifiable information.
Key Capabilities
What is Synthetic Data?
Demographic-Preserving Identity Generation
Generate fictional yet realistic identities that preserve critical distributions without exposing personal information.
Enterprise-Wide Consistency
Ensure synthetic identities are consistent across all platforms, maintaining referential integrity across your entire data landscape.
Structured and Unstructured Data Support
Seamlessly generate data for both databases and file formats, providing a unified approach to privacy.
Zero-Reversibility Architecture
Utilize a architecture that makes it mathematically impossible to reverse synthetic data back to its original source.
Incremental Identity Management
Efficiently handle data updates by incrementally managing identities, ensuring new data is synthetically matched.