Dependent masking replaces a column of data with values from a custom dictionary that you use to mask data in another column. To use dependent masking, at least one other source column must be masked with a custom substitution rule.
For example, mask a Name column in the source data with a custom substitution rule. Configure the rule to mask the values with values from the Name column in a Personal_Information dictionary.
You can configure dependent masking on another column to mask the source with values from a corresponding column in the same dictionary. For example, apply dependent masking on the Age column. Choose the Name column as the dependent column. You can then select a corresponding column from the Personal_Information dictionary as the dependent output column. If you select the Age column from the dictionary, the masking rule uses the age value that corresponds to the name value.
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