Dynamic Data Masking (DDM) in Snowflake is a powerful feature that provides a dynamic, role-based approach to securing sensitive data. By applying masking policies at query runtime, DDM ensures that the data itself remains intact, but access to sensitive information is limited based on the user’s role.
This is a feature only available in the Enterprise Edition of Snowflake
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External Tokenization:
For extra security, external tokenization can be used where data is replaced with tokens, and detokenised upon query based on user permissions.
Best Practices:
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Start Simple: Avoid overly complex masking policies for better performance.
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Regular Audits: Ensure policies are consistently applied and tested, especially when role hierarchies change.
Dynamic Data Masking is essential for organisations handling sensitive data, ensuring compliance with regulations while maintaining efficient data access for authorised users.