A data masking rule is a data masking technique to mask a specific type of data. You can create a standard rule, advanced rule, or a rule that you import as a mapplet.
A data masking technique defines the logic that masks the data. Masking parameters are options that you configure for a masking technique. For example, you can define different dictionary files for substitution masking rules. Dictionary files contain the sample data for substitution. You might blur output results by different percentages for different columns. Most masking techniques have associated masking parameters.
You can enable users to override masking parameters for a rule. For example, you create a rule with the substitution masking technique to mask column data based on a flat file substitution source. You set the override option for the rule. When a developer assigns this rule to columns in a source, the developer can select a relational database as a substitution source rather than a flat file.
You can assign rules to source columns, data domains, policies, and plans.