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.
In addition, privacy compliance mandates such as the EU's GDPR and the California Consumer Privacy Act limit the use of data to the assigned purpose of processing. Organizations must be able to reliably classify and provision personal data for use in a way that respects and adheres to current privacy requirements.
The integration of BigID’s machine learning-driven discovery, classification, and labeling for sensitive and personal data, combined with Privitar’s comprehensive de-identification, policy management and data provisioning enables data-driven enterprises to both streamline and de-risk their data pipelines. API-level integration of sensitive data discovery and policy-driven de-identification allows for automated metadata exchange, and enables fast, efficient and standardized data protection and provisioning at scale. Organizations can maximize the value of their sensitive data by realizing seamless data discovery, programmatic tagging of categories, automated data provisioning, and consistent privacy preservation.
“The integration of Privitar and Big ID provides a powerful and scalable approach to sensitive data discovery and analytics across the entire enterprise,” said Nimrod Vax, CPO of BigID. “Our customers can draw on the combined discovery and performance at scale of BigID and Privitar technologies to make data available while preserving privacy for a wide range of use cases in a secure, seamless, and orchestrated process."
To learn more about the Privitar and BigID partnership, visit https://bigid.com/partner/privitar.