Immuta announced a partnership with Databricks that empowers data teams to perform analytics on sensitive data in the cloud in a compliant, policy-driven, and automated way. Through a new, native integration, the two companies help customers make data secure, anonymized and compliant for cloud analytics and machine learning.
With Databricks and Immuta, customers can enforce fine-grained access controls and dynamically apply anonymization techniques from directly within Databricks and Delta Lake, the open source storage layer that brings reliability to data lakes. As a result, Databricks users see only what they’re allowed to see, based on who they are, and their approved purpose. This enables organizations to securely access data and build machine learning models.
With Immuta natively integrated within Databricks, the customer now has the power to create automatically-enforced data policies, combining ABAC (or attribute-based access control) and purpose.
Now, the customer’s analysts enjoy dynamic access to data, with Immuta ensuring proper security and privacy protection – down to the row, column, and cell-level. Immuta’s integrated data governance made possible the migration to Databricks. The customer now benefits from analytics on a modern platform, without sacrificing governance and security.
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