Data profiling
automatically scans data, flagging and categorising personally and commercially sensitive information.
Reduce costly compliance risks and testing bottlenecks, virtualising and anonymising production data as it’s moved to test environments. Pick an intuitive masking engine to comply with pressing privacy requirements, before making synthetically enhanced data available in parallel and on demand.
Anonymise physical and virtualised production data before it reaches test environments. Masking reduces the risk of costly data breaches and legislative non-compliance:
automatically scans data, flagging and categorising personally and commercially sensitive information.
replaces PII consistently across systems, retaining all the relationships needed in testing.
provide lightweight data sets in parallel and on demand, minimising wait times and costly non-production storage.
Increasingly stringent data privacy legislation and internal company policies make the use of raw production data in testing harder and riskier than ever. Read these articles to discover some of the potential risks, and ask yourself if your testing risks huge fines, reputational damage, and customer churn:
Test Data Automation does not end with reducing compliance risks. It offers a roadmap to making complete and compliant data available on-the-fly during rapid development, automated testing, and CI/CD. You can alleviate immediate compliance concerns and unlock the benefits of complete Test Data Automation:
Minimise the time that testers and developers spend waiting for, finding, and making data, allocating data automatically as manual and automated tests run.
Find bugs while they are faster and more affordable to fix, using coverage analysis, synthetic test data generation and automated “find and makes” to maximise testing rigour.
Make rapid and rigorously tested releases, providing up-to-date data on-the-fly during testing, rapid development, CI/CD processes and test automation.