Security News > 2020 > June > Immuta for Databricks: Secure data collaboration, anonymization techniques

Immuta for Databricks - a new, native offering for Databricks customers - enhances data engineering productivity and data security by automating fine-grained access control and privacy protection natively within Databricks and Delta Lake.

"Data teams are exposed to new levels of risk, making it challenging to manage and prepare sensitive data for data scientists to access in a compliant, self-service way, but also for those same analysts to securely share and publish their work. The latest Immuta for Databricks enhances automation capabilities required to overcome these challenges," said Steve Touw, CTO, Immuta.

Leveraging Immuta's patented approach to equalizing permissions across users to prevent data leakage, data teams can now create projects in Immuta with appropriate WRITE access to publish derivative work for secure data collaboration on a Databricks cluster.

While Immuta pioneered the intuitive, no-code Policy Builder to support data privacy regulations, Immuta for Databricks enhances the ability for data governance and compliance teams to automate the manual processes required for compliance with the CCPA, GDPR, HIPAA, and other regulations.

"At Databricks, we are committed to providing data teams control over sensitive data as they scale their business analytics and machine learning projects," said Michael Hoff, SVP Business Development and Partners at Databricks.

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