DataMasque focuses on masking sensitive data, ensuring referential integrity across databases. Users secure PII and PHI in development, creating realistic datasets while maintaining data relationships. Scalable automation and integration with Git enhance testing accuracy and speed. Users seek PDF and image masking and improved UI for comprehensive protection and better usability.