Privitar, a data privacy platform provider and BigID, provider of a data intelligence platform for privacy, protection and perspective, are joining forces to give organizations an integrated, automated approach to tackling some of the biggest challenges associated with deriving valuable insights from sensitive data.
The integration of Privitar’s privacy engineering platform and policies with BigID’s data discovery and classification is targeted at helping analytics teams make use of well-defined, high resolution, de-identified datasets for their programs, and remove manual steps for privacy-aware data pipeline provisioning.
According to the companies, today, data engineering and data science teams depend on data derived from multiple sources to drive new insights. Combining data from multiple sources amplifies the risks that individual data subjects are inappropriately profiled or re-identified.
