Securiti, the pioneer of the Data Command Center, is unveiling its strategic partnership with Databricks, the data and AI company and provider of the Data Lakehouse and Unity Catalog, in an effort to centralize enterprise data and AI management across all data systems. Culminating in various data intelligence and governance features, Securiti and Databricks’ partnership marks a leap in empowering organizations to take control of their data governance and security with contextual intelligence.
Addressing the needs of Securiti customers, this partnership manifests as a mission to forward the safe use of data—as well as of generative AI (GenAI)—for those operating in Databricks environments.
Securiti and Databricks’ partnership enables the identification and classification of sensitive data within enterprises, ensuring that its data flow is compliant, governed, and secure. This integration is designed to provide a comprehensive, single view of enterprise needs within Securiti’s Data Command Center across hybrid and multi-cloud environments, according to the companies.
As part of this integration, Securiti’s Data Command Center and Databricks’ Unity Catalog work in tandem to offer enterprises data encryption and masking capabilities to secure sensitive data—including AI training data that is both at rest and in motion. This partnership addresses both the needs of the chief data analytics officer (COA)—who is charged with making sure that data is available for creating a data asset—and the chief technology officer (CTO)—who must deliver valuable, effective, and streamlined solutions.
“For the first time, you can use security to identify sensitive data in any Databricks data source,” said Jocelyn Byrne Houle, senior director, product management, at Securiti. “Once you know that sensitive data, then you can classify it using Securiti’s classification engine and then take action…[which] can be leveraged and enforced inside of Databricks’ Unity Catalog.”
Securiti allows customers to investigate and control data at varying levels—both granular and across all data environments—in Databricks using Unity Catalog. Enterprises are then able to reference a single source of truth for surfacing private data within Databricks, using the Data Command Center’s comprehensive visibility and data intelligence functions.
With this partnership, data producers and data consumers alike are afforded the ability to work with trusted data for experiments, model training, and data products with consistent and reliable data controls. Additionally, the partnership allows for both backward and forward compatibility so enterprises can either leverage Securiti’s features now or while in the process of adopting Databricks’ Unity Catalog.
“It's about treating data as the common platform and grammar across an entire hybrid and multi- cloud organization,” explained Byrne Houle. “Organizations are struggling to make best use of their data as an asset because they need to get a single command center that gives them a view into…all of the assets and all the sensitive data.”
“Once they have that then they need to take action like restricting access, making sure that the data is high quality, they can see the lineage and then lastly, often forgotten…enabling end users to remediate, report, [and] stay compliant and auditable. We have tools inside of our system that really help all those Databricks customers take action…[and] lock down access,” Byrne Houle continued.
To learn more about Securiti and Databricks’ partnership, please visit https://securiti.ai/ or https://www.databricks.com/.