Mask

Mask generators 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.

When to use

• 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 not to use

• 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

Available mask generators

Mask generators are categorized by data type:

• Text

• Numeric (integer and decimal)

• Datetime

• UUID

Interactive guide: How to apply a mask generator

Follow the interactive guide below to apply a mask generator.