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Working together, Securiti and Snowflake help customers get the full value of the Snowflake Data Cloud, while avoiding siloed data governance across large multi-region, multi-account Snowflake implementations. By integrating Securiti’s DataControls CloudTM with Snowflake, organizations extend the benefits of Snowflake's data management across their data ecosystem to gain sensitive data intelligence and unify data controls.
Securiti has achieved Select tier partner status from Snowflake and is helping customers fully realize the value of the Snowflake Data Cloud by streamlining data governance across large Snowflake implementations at scale. The advantages of using Securiti and Snowflake together are:
“Modern organizations have tremendous opportunities to innovate with data, but today, more than ever, they need to do so without compromising security and privacy,” said Vikas Jain, Senior Technology Alliances Manager at Snowflake. “For very large Snowflake implementations, the complexity is even greater. Securiti and Snowflake together expand value for customers by enabling them to set data policies across multiple Snowflake accounts and manage these policies from a single command center so they can innovate with confidence.”
Securiti works together with native Snowflake data governance and security capabilities to manage and protect data in large enterprises in two key ways:
Snowflake includes many advanced security measures, including granular access controls, end-to-end encryption, and dynamic masking to fortify data protection and privacy. Snowflake's data governance solution can effectively address the diverse needs of modern businesses and drive both informed decision-making and strategic growth.
However, identifying and managing sensitive data can be difficult, either because it has been migrated without proper controls or because the data owners are not correctly managing the sensitive data stored in Snowflake due to manual techniques.
Securiti accurately finds all sensitive data, then orchestrates Snowflake’s dynamic data masking policies directly from Securiti’s unified data command center into Snowflake for local enforcement. Securiti’s modular, API-driven architecture lets customers find and mask sensitive data based on attributes, ensuring data teams can access the data they need without compromising security and privacy controls.
Technical challenges and considerations for maximizing the value of large-scale Snowflake deployments include scalability, storage, governance, and integration. Securiti’s DataControls CloudTM address these unique concerns for customers who have scaled their Snowflake footprint across multiple lines of business.
In addition to building the right pipelines to make the right data accessible to the right end users, large Snowflake implementations also need to address the following:
By leveraging the technical features of both platforms, organizations can enjoy the benefits of cutting-edge data management while maintaining the highest levels of security and compliance. For large-scale implementations, Securiti orchestrates and extends the benefits of Snowflake's data management and controls across multi-region, multi-account deployments. To discuss how to improve decision-making and drive data innovation in Snowflake, request a meeting with Securiti’s Snowflake experts now.
At Securiti, our mission is to enable enterprises to safely harness the incredible power of data and the cloud by controlling the complex security, privacy and compliance risks.
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