Dev and QA teams provision complete, compliant test data on demand without waiting on centralized teams or manual processes.

• Subset test data using familiar business terms

• Snapshot and roll back test data on demand

• Reserve test data to protect against overrides

• Move test data from any to any environment

• Transform test data by aging, modifying, or enriching it

Infosec teams discover sensitive data and define masking rules, which are applied in flight as data is ingested.

• Discover sensitive data across all data sources

• Catalog sensitive data for governance and control

• Apply masking rules from a broad library of functions

• Create custom masking functions as needed

• Preserve referential integrity across all masked data

Teams generate realistic test data on demand when production data is scarce, for new functionality testing, and for performance testing — with built-in compliance and integrity.

• Generate synthetic data using AI, rules, or entity cloning

• Leverage the entity data model to preserve relationships and referential integrity 

• Create test data for new functionality and negative testing

• Produce large-scale datasets for performance testing

• Provision synthetic data into any lower environment

Teams expand test coverage across all participating data sources and automate test data delivery across environments.

• Connect to any data source and combine multi-source data into a single entity dataset

• Integrate test data from mainframe to modern systems, across structured and unstructured sources

• Integrate test data delivery into CI/CD workflows

• Deploy across on-prem, cloud, and hybrid architectures