Configure data masking rules to protect sensitive information.
Data masking replaces sensitive data with realistic but fake data, allowing you to work with datasets while protecting actual sensitive information. This is essential for development, testing, and analytics environments.
Replace entire values with masked characters:
Mask only portions of the data while preserving some characters:
Encrypt data while maintaining its original format:
Replace values with fake but realistic alternatives:
Guard automatically detects common sensitive data types:
Data masking applies to data displayed in the platform interfaces. Original data in your databases remains unchanged unless you explicitly export masked data.