Maskers
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directly modify existing values to anonymize them, while preserving the original format. This makes masked data more suitable for scenarios where format realism is required.
To anonymize both directly and indirectly identifiable information
When data must remain valid in format (e.g. date, email, UUID)
For PII in non-production or staging environments
When exact values or relationships must be preserved
When synthetic data is required instead of transformed real data
In production environments where full de-identification is needed
Maskers are categorized by data type:
Numeric ( and )
Follow the interactive guide below to apply a .