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How can I secure data sharing on Snowflake?

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How can I secure data sharing on Snowflake?

Daniel Steinhold Answered question August 28, 2023
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There are a number of ways to secure data sharing on Snowflake:

- Use strong passwords and MFA: When creating accounts and granting access to data, use strong passwords and enable multi-factor authentication (MFA) to help protect against unauthorized access.

- Grant access only to the data that is needed: When sharing data, grant access only to the specific objects that are needed, and use the least privilege principle to ensure that users only have the permissions they need to perform their jobs.

- Use secure views: Secure views can be used to share data with users without giving them access to the underlying data. Secure views can be configured to only return certain columns or rows of data, or to apply filters or transformations to the data before it is returned.

- Encrypt data in transit and at rest: Snowflake supports encryption of data in transit and at rest to help protect data from unauthorized access.

- Monitor data access: Use Snowflake's auditing and monitoring features to track data access and identify any unauthorized activity.

- Use data governance policies: Data governance policies can be used to define and enforce rules for data sharing. Data governance policies can help to ensure that data is shared in a compliant and secure manner.

By following these best practices, you can help to secure data sharing on Snowflake and protect your sensitive data.

Here are some additional tips for securing data sharing on Snowflake:

- Use data masking: Data masking can be used to obscure sensitive data before it is shared. This can help to protect sensitive data from unauthorized access and malicious attacks.

- Use data pseudonymization: Data pseudonymization can be used to replace sensitive data with non-sensitive data. This can help to protect sensitive data from unauthorized access and malicious attacks, while still allowing the data to be used for analysis and reporting.

- Use data encryption: Data encryption can be used to protect data from unauthorized access and malicious attacks. Snowflake supports a variety of encryption algorithms, including AES-256 and RSA-2048.

- Use data access controls: Data access controls can be used to restrict access to data to authorized users. Snowflake supports a variety of data access controls, including role-based access control (RBAC) and fine-grained access control (FGAC).

By following these tips, you can help to secure data sharing on Snowflake and protect your sensitive data.

Daniel Steinhold Answered question August 28, 2023
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