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Snowflake and Securiti Partner to Enable Cloud Data Governance, Security and Privacy

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Data cloud player Snowflake has announced a partnership with Securiti, to give access to cloud data governance, security, and privacy. With its advanced capability, Securiti has teamed up with Snowflake, which operates inside Snowflake’s data cloud natively. Using Securiti for Snowflake, joint customers can meet their key obligations around the protection, privacy, governance, and compliance of sensitive data.

Vikas Jain, Head of Products-Security of Snowflake, said, “We are excited to partner with Securiti for its innovative solution that enables comprehensive intelligence, protection, and privacy controls around sensitive data. This deeper integration with Snowflake can help our customers and developers to keep the velocity of innovation and effectively fulfill their key data obligations.”

The quantity of data organizations are putting into cloud-based platforms like Snowflake is staggering. There are immense opportunities presented by this data as well as heavy responsibilities. The award-winning platform of Securiti helps organizations fulfill their key protection, privacy, governance, and compliance obligations when handling data in Snowflake, and at petabyte scales.

Rehan Jalil, president, and CEO of Securiti said, “Snowflake enables organizations to innovate using their data at scale. We are excited to collaborate with Snowflake to provide protection and controls around these most critical assets.”

Securiti for Snowflake uses AI and machine learning to scan petabytes of data in real-time to identify sensitive and personal information regulated under privacy and security regulations including GDPR, CCPA, HIPAA, GLBA, etc. Securiti’s powerful data management capabilities include:

The Intelligence of Sensitive Data: Discover sensitive data across various sources, catalog sensitive data both structured and unstructured, map users to their personal data, and track risk behind data.

Detailed Access Controls: Access control can be automated based on sensitive data elements. Mask sensitive data dynamically based on roles to reduce governance burden.

Privacy Operations: Automate all privacy-related workflows in Snowflake, such as user consent implementation, data mapping, and data incident investigation.

Compliance: Manage compliance with global data security and privacy regulations, such as NIST, PCI, GDPR, CCPA, and more.

Configuration Monitoring: Regularly monitor Snowflake’s security posture and data risk and remediate any issues that arise.

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