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How to mask data using Dynamic Data Masking?
The Manage masks window will be opened and, by default, the Replace original data tab will be selected. The next step is to click on the Hide original data tab: In the Hide original data tab, the first step is to choose users for which the sensitive data will be hidden when applied to the newly created mask.
Is there Dynamic Data Masking in SQL Server 2016?
Download the latest SQL Server 2016 CTP (or register for a trial of Azure SQL Database v12, where this feature appeared first). Try out Dynamic Data Masking in scenarios where it may seem useful. Aaron Bertrand (@AaronBertrand) is a passionate technologist with industry experience dating back to Classic ASP and SQL Server 6.5.
How to mask column values in SQL Server?
To mask values in the specified column with the Default type of Dynamic data masking, ALTER TABLE…ALTER COLUMN T-SQL statement will be used: ALTER TABLE dbo. Customer ALTER COLUMN First_Name NVARCHAR( 10) MASKED WITH (FUNCTION = ‘default ()’);
When do you need permission to mask data?
If a user has SELECT permission to the table (or column), the default behavior is that the mask is applied to the data. Users cannot get the original values unless they are explicitly granted permission to do so.
How to add a mask to a column?
To add a data mask on a certain column in your database, all you need to do is alter that column by adding a mask and specifying the required masking type.
How do you mask data in SQL Server?
When a user is selected, click on the OK button: To create a new mask and to add it to selected columns, under the Hide original data tab, click on the New button. The Create new mask window will be shown: In the Create new mask window, it is necessary to enter the name of the mask, while the description of the mask is optional.
How is DDM used to hide sensitive data?
DDM can be used to hide or obfuscate sensitive data, by controlling how the data appears in the output of database queries. It is implemented within the database itself, so the logic is centralized and always applies when the sensitive data is queried.