Create high-fidelity test data to limit the risk of production data exposure in non-production environments.
Non-production environments, for any number of reasons, can be vulnerable, risking any production data that may be used to test inside them. Our Test Data Management solution anonymizes production data to be safely used in non-production environments. Test accurately, without the risk of data exposure.
Convert sensitive data from your prod environment to non-prod environments with meaningful substituted values.
Consistent, repeatable replacements across data sources to ensure business logic or test scripts just work.
Real-time tokenization removes the need to duplicate large data sets before creating test data.
Build test data sets that accurately represent characteristics and trends in existing data sets.
Create data based on existing customer sets or none at all.
Create test data in real-time, with no duplication and virtually no latency.
With high-fidelity, referential test data that acts like real data, you can ensure your non-production environments are operating as they should be.
Never let the integrity of non-production environments impact your data security.
Use the same process to generate data in any location, including ingestion pipelines for big data and cloud analytics on-prem or in the Cloud.
Use lookup and row data to filter and subset data to create variable sized data sets while ensuring referential integrity.
Apply business logic and integrity, supporting multi-table “joins” to apply intelligent replacements.
Use custom scripts to manipulate data, and make calls out to APIs to get data or trigger business processes.
Extracts and creates database structure to avoid restoring databases to apply de-identification.
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