MASKING
Dynamic Data Masking
Data engineers today must ensure all analytics data and data use is compliant with a complex, growing set of regulatory and business rules. Immuta and Snowflake provide a dynamic approach to discovery, classification and protection of sensitive data for sharing on the Snowflake data marketplace, or internally, by using advanced math-based, auditable techniques for data masking, randomization and anonymization. Policies can be enforced dynamically for each user based on geography, duration of time, user subject attributes such as clearance level and more, without copying data or managing hundreds of roles.
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