GoMask.ai

GoMask.ai is a data masking and synthetic data generation platform designed to help engineering teams produce compliant test data efficiently without exposing real user information. The app leverages artificial intelligence to mask sensitive data such as personal identifiers, email addresses, and financial details while maintaining data consistency across related database tables through schema-aware masking. This approach preserves the integrity of database relationships, ensuring that changes like user ID updates remain synchronized throughout the dataset.

The platform also generates realistic synthetic data by learning the structure of existing data, enabling teams to create authentic test sets without relying on actual customer information. This helps identify software bugs that might be missed using generic or random test data. Features include one-click masking to quickly protect sensitive fields, a real-time preview function to verify masked data and database connections before applying changes, and seamless integration with continuous integration and continuous deployment (CI/CD) pipelines through plugins compatible with tools such as Jenkins and GitLab.

By automating data masking within development workflows, GoMask.ai supports secure and compliant software testing processes, facilitating faster development cycles while safeguarding personal and confidential data.

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Website: gomask.ai

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