Immuta, a data security leader, announced key enhancements to its industry-leading Data Security Platform for Databricks that enable data teams to leverage Immuta’s full platform capabilities, unlocking value from data, reducing costs, and speeding up innovation while maintaining strong data security posture. These updates include a new native integration with Databricks Unity Catalog that connects customers with Immuta’s latest platform capabilities providing localized Sensitive Data Discovery, enhanced security and access control for artificial intelligence (AI) workloads, and enhanced Data Security Posture Management.
“We continue to work closely with Databricks to ensure that our technology platforms integrate seamlessly with every product release. With this update, Immuta provides a native, seamless integration with Unity Catalog’s latest release, helping Databricks to simplify and scale data security in the cloud,” said Steve Touw, CTO, Immuta. “As an industry, it’s time we tackle the next frontier for the cloud: data security. We are thrilled to be accomplishing this with Databricks in our latest integration update and enhancements as we continue our track record of innovation.”
Simplified Cloud Data Security Through New Integration with Databricks Unity Catalog
As organizations continue to migrate more data to the cloud, securing and protecting it becomes more complex and hinders data migration initiatives. Through this new integration with Databricks, Immuta abstracts and orchestrates the complexities of managing data security so that joint customers can focus on getting value from their data faster. Immuta leverages and expands on new features added to Databricks Unity Catalog, such as row filtering and column masking capabilities to provide data discovery, security and access control, and comprehensive data monitoring.
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“Unity Catalog aims to provide unified search and governance for customers’ data, analytics, and AI initiatives, and Immuta’s data security platform continues to play a key role in meeting users’ compliance and privacy needs,” said Roger Murff, VP of Technology Partners at Databricks. “Now, joint customers can leverage the latest Unity Catalog features through an even more simplified process of securing and governing data and AI assets across multiple clouds.”
Easily Identify Sensitive Data with Localized Sensitive Data Discovery
As modern data stacks become more complex and data volumes grow, data teams need more efficient ways to identify and manage sensitive data. With Immuta’s new localized Sensitive Data Discovery, all sensitive data processing remains within Databricks so that it is easy to conform to data localization and data security requirements.
Key capabilities available to Databricks customers include:
- Providing auto-tagging capabilities across a lakehouse environment
- Applying 60+ prebuilt identifiers and easily define data
- Ability to build your own classifiers with acceptable confidence levels
- Exploring how tags are applied across a data lakehouse
SOURCE: Businesswire