Stop wasting resources on ineffective in-house workarounds and consolidate your tools with a platform that gets you the safe, useful data you need.
Your lower environments are only as good as the data you give them. Bring them up to speed with production-like data.
Give your developers realistic data they can work with safely anywhere in the world, and maximize your resources.
Meet the requirements of today and tomorrow’s data privacy laws, and get full visibility into your processes along the way.
Select from over 50 generators, backed by algorithms carefully tailored to distinct data types, as the building blocks to create your model for de-identification and transformation. Regulatory-specific generators? We’ve got those, too.
Connect natively to and de-identify consistently across all the leading SQL and NoSQL databases to generate data that is realistic and consistent no matter where it lives.
Prevent sensitive data from leaking into your lower environments with Schema Change Alerts. Block data generations from running when a schema change is detected, so you can ensure that any new data is properly protected before pushing it through the pipeline.
Toggle on Consistency to ensure that the same input in your source data always maps to the same output in your de-identified data across tables and databases. Enable joins on columns with explicit database constraints, preserve the cardinality of a column, or match duplicate data across multiple databases.
Integrate data de-identification seamlessly into your CI/CD workflows, so everyone on your team has the data they need, when they need it. Set up webhooks and post-job scripts to further automate your data pipeline. The UI is there when you want it. The API is there when you don’t.
Preserve your de-identified data’s realism by capturing the relationships across your data either manually with column Linking and Partitioning, or automatically with AI Synthesizer, our generator powered by deep neural networks.
Apply differential privacy within your data model to achieve mathematical guarantees of data privacy. Data protected using differential privacy cannot be reverse engineered, re-identified, or otherwise compromised, no matter the adversary.
Automatically flag PII and PHI for de-identification throughout your database in the Privacy Hub, then rapidly apply recommended generators to de-identify on the fly.
Track and share details about the level of data protection achieved with Privacy Reports. Monitor for at-risk data in need of protection in advance of generating, and maintain records of the protection status of each generation you run.
Enable your developers, unblock your data scientists, and respect data privacy as a human right.