Reviewing and applying recommended generators
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The Tonic Structural sensitivity scan identifies specific types of sensitive data. For each sensitivity type that it detects, Structural can have a recommended generator. For example, for a value that the sensitivity scan identifies as a Social Security Number, Structural recommends the SSN generator. For a first name, Structural recommends the Name generator configured with First as the value type.
From Privacy Hub and Database View, you can review and apply the recommended generators.
In Privacy Hub, on the settings view of the column details panel, for a detected sensitive column that does not have an applied generator, and that has a recommended generator, Structural displays a button for the recommended generator.
To apply the recommended generator, click the button.
On Database View, when a column has a recommended generator, the generator dropdown displays the available recommendation icon.
To apply the recommended generator:
Click the generator dropdown.
On the column configuration panel, click Apply.
On Table View, when a column has a recommended generator, the available recommendation icon displays in the column heading next to the dropdown icon.
To apply the recommended generator:
Click the generator dropdown.
On the column configuration panel, click Apply.
When there are detected sensitive columns that are not protected, Privacy Hub displays a Sensitivity Recommendations banner. The banner displays the number of detected, unprotected columns.
To review the recommended generators, and determine whether to apply them, click Review Recommendations.
The Recommended Generators by Sensitivity Type panel displays the list of sensitivity types for which there are detected, unprotected columns.
To display the columns for a sensitivity type, click the expand icon for that type.
To hide the column list, click the collapse icon.
For each column, the list includes the following information:
The table and schema name
An example value from the source data (Original Data), with a corresponding destination value when the recommended generator is applied (Expected Output).
To display a larger sample of source and destination values, in the Expected Output column, click the view icon.
Address columns that can be linked are displayed in groups.
For example, if a table includes columns for both city and state values, then those columns are displayed as a group. When you apply the recommended generators to the group, the columns are also linked.
There are separate Address entries for individual columns and for groups of columns to link.
To filter the lists, you can use either:
Schema name
Table name
Column name
Start to type text that is in the schema, table, or column name. As you type, Structural applies the filter to all of the lists.
When you first display the panel, all of the columns are selected. The selected columns are affected when you apply recommended generators or ignore columns.
Within each sensitivity type, you can select or deselect individual columns.
You can use the checkbox in the column heading to select or deselect all of the columns for a sensitivity type.
Before you apply a recommended generator, you can enable or disable consistency for each individual column, or for all of the columns for a sensitivity type.
You can only enable self-consistency. You cannot configure consistency with other columns.
The recommended generators panel contains a Consistency toggle for each column. The toggle in the column heading enables or disables consistency for all of the columns for a sensitivity type. If the recommended generator does not support consistency, then the toggle is disabled.
To enable self-consistency, toggle Consistency to the on position. To disable self-consistency, toggle Consistency to the off position.
To apply the recommended generator to the selected columns for a sensitivity type, click the Apply option for that sensitivity type.
When you apply the recommended generator, Structural removes the column from the list.
If the recommended generator is incorrect, then you can ignore the recommendation.
To ignore the recommended generator for the selected columns in a sensitivity type:
Click the Ignore option for the sensitivity type.
In the Ignore dropdown list, click Ignore generator recommendation.
When you ignore the generator recommendation:
The column is removed from the list.
The recommended generator is removed. This includes the recommendation on the Privacy Hub column configuration panel.
The column continues to be marked as sensitive.
You can mark selected columns for a sensitivity type as not sensitive. For example, a correctly identified first name value might be a test value that is not actually sensitive and does not need to be transformed.
To mark selected columns in a sensitivity type as not sensitive:
Click the Ignore option for the sensitivity type.
In the Ignore dropdown list, click Mark as not sensitive.
When you mark a column as not sensitive, it is removed from the list.
To apply the recommended generators to all of the selected columns across all of the sensitivity types, click Apply All.
On Database View, the Bulk Edit panel includes an option to apply the recommended generators to the selected columns that have an available recommendation.
From Database View, to apply recommended generators to multiple columns:
Check the checkbox for each column to update.
Click Bulk Edit.
On the bulk editing panel, in the Generator recommendations found panel, click Apply.
The column name, with the column data type. For , the panel lists each JSON field separately. The Column Name column contains both the column name and the JSON path.
