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Learn how to implement dynamic data masking in Amazon Aurora PostgreSQL to protect sensitive data through column-level security policies. Discover how to use the pg_columnmask extension to create policy-based rules that control data visibility for different user roles without requiring application modifications or data duplication. Explore practical scenarios including displaying partial account numbers for customer service representatives and providing anonymized datasets for analysts. Master the configuration and management of dynamic data masking policies to enhance your database security posture while maintaining operational efficiency across your organization.
