Immuta provides data security, monitoring updates and integrations on Google, Snowflake and Databricks


Immuta, a data access and security provider, showcases its latest product enhancements and integrations designed to deliver advanced data security and monitoring on leading large-scale cloud platforms.

These new features include native integration with Google BigQuery, expanded integrations with Snowflake, including external support for OAuth, export of audit log data to Amazon S3, and better policy integration for Databricks. .

Through its strong partnerships with Google, Snowflake and Databricks, Immuta addresses the need to improve cloud data security and monitoring with the following new features:

  • Integration with Google BigQuery – With this release, Immuta natively integrates with Google BigQuery, enabling automated data discovery, access control, and monitoring without being in the data path. Users can now easily manage large-scale access control over cloud data in Google BigQuery.
  • Snowflake External OAuth – Immuta now easily integrates with customers’ OAuth provider, simplifying user authentication and authorization for faster access to Snowflake data. This integration allows customers to use their custom Identity Provider (IdP) to seamlessly connect Immuta to their Snowflake environment, enabling improved workflows between Snowflake and Immuta.
  • Snowflake Table Grant Management – This new feature automatically grants users access to Snowflake data tables based on Immuta’s global subscription policies. Previously, users had to manually grant access.
  • Data Source Ingestion for Snowflake – As organizations dramatically increase the amount of data they collect, store, and process in Snowflake, Immuta now offers accelerated metadata ingestion from Snowflake into Immuta. This helps data teams meet increasing demands for speed and enables faster ROI for Snowflake customers.
  • Improved monitoring with export of audit logs to Amazon S3 – Immuta now enables export of audit log data to Amazon S3 to make it easier to integrate log data with tools like Splunk. Knowing how data was accessed, used, and modified is necessary to prove compliance, and this feature makes it easy to export audit log data to cloud storage for easier data analysis using log monitoring technologies.

Databricks customers can now connect data sources to Immuta without affecting existing access controls until ready.

This separates data policy creation from policy ingestion so that existing access controls are not affected. This way, customers can take a phased approach to implementing new Immuta policies, improving the onboarding process, and adopting new technologies, depending on the vendor.

“As massive amounts of data move from on-premises to cloud, we see cloud data infrastructure players such as Snowflake, Databricks and Google BigQuery coming out on top. However, as this cloud migration happens and As the volumes of sensitive data increase, it also increases the surface of security risk,” said Steve Touw, CTO, Immuta. “Today’s data-driven organizations need to be able to conduct effective analytics while ensuring data security, and we’re proud of our latest product innovations that enable key cloud data platforms to meet growing demands for data security and access.”

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