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.
Dependent masking parameters
To apply dependent masking on a source column, at least one column must be masked with a custom substitution rule.
The following table describes the parameters that you can configure for dependent masking:
Property
Description
Dependent Column
The input column configured for custom substitution masking that you want to relate to the source column. Choose a column from the list. Columns that you configure with substitution masking appear in the list.
Dependent Output Column
The dictionary column to use to mask the source data column. Lists the columns in the dictionary used to mask the dependent column. Choose the required column from the list of dictionary columns.