Instead of attempting security by cutting off data access, PrivateAnalytics makes computations inherently private and secure – so all internal data can be used for analysis.
PrivateAnalytics sits on top of existing database and data warehouse provides, and has access to all raw datasets.
Users interface directly with PrivateAnalytics, through an API (Python) or SQL queries.
Users are able to run their query or code on the entire dataset. PrivateAnalytics ensures that the output does not reveal anything sensitive. This includes individual records, sensitive columns, or custom-defined data privacy policies.