ISO 27001 is the international standard for information security management systems. Compliance means you can prove you know where your data lives, who touches it, and how it’s protected. In a Snowflake environment, that protection must extend to any dataset containing personal information, financial records, or regulated data. Data masking in Snowflake gives you that layer of enforced privacy.
Snowflake supports several masking methods. Dynamic data masking changes the value returned based on user role, so a masked column might show full data to admins but hashed or null values to analysts. External tokenization moves sensitive values outside Snowflake, replacing them with tokens on ingest. Column-level security policies let you bind masking logic directly to fields, keeping the rules close to the data.
To align with ISO 27001, document your masking policies as part of your risk treatment plan. Map all personal and sensitive fields, then apply masking policies using Snowflake’s CREATE MASKING POLICY and ALTER TABLE commands. Test and audit regularly—ISO 27001 requires evidence that your controls work, not just that they exist.