Test data compliance

What to do when your test data is not compliant?

privacy regulations

If your data contains Personally Identifiable Information (PII) you need to make sure it is compliant with privacy regulations.

To become compliant with regulations like GDPR, PCI and HIPAA, you need to anonymize the data in your lower environments. With the help of data masking and synthetic data generation you create data that is safe to use for testing and development purposes.

data insight

Gain knowlege of your database and be aware of what’s inside of it. It may contain sensitive data and if that’s the case, you want to know where it’s stored.

If you don’t know where Personally Identifiable Information (PII) is stored, you are not able to mask the database properly. You need insight into your data to build a masking template and become compliant with privacy regulations like GDPR, PCI and HIPAA.

Show everyone you’re taking data privacy seriously. Be in control of your masking efforts and mask your data whenever you want.

Not having control over your test data environments costs a lot of time and money. Start managing, monitoring and automating test data from one TDM portal. Get notifications about the runs and download the audit report to prove your masking efforts.

Data Compliance Resources

data masking solutions

Data masking

Protect privacy sensitive data and personal identifiable information with data masking in non-production databases, comply with legislation and prevent data leaks in QA environments.


GDPR, PCI and HIPAA compliant

When you use software within an environment that has to be compliant to privacy laws and regulations, the most important thing to consider is the architecture of the software implementation.

data masking definition

Definition of data masking

Masking data is done by organizations to get compliant to privacy regulations or to secure data (against competition). Obfuscating data is mostly done for non-production purposes.

Test data compliance tools

datprof analyze

Profiling and data discovery. Get new insights in data quality and find out where privacy sensitive information is stored.

datprof privacy

Mask your privacy sensitive data, generate synthetic data and use it for development and testing.

datprof runtime

Auditability and control center. Monitor, automate and execute your test data from one central test data portal.

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Data Masking


Data Automation


Data Discovery