The .ORG mask

Exploring SQL Server 2016 Dynamic Data Masking – Part Two - Masking and Exporting Data in Existing Tables

Dynamic Data Masking allows you to obscure your confidential data column values at the database engine level for both new and existing SQL Server data. Being able to alter the definition of an existing column to add a masking rule makes it very simple to obscure your existing column values without even changing your application code.

The Email Mask

Stairway to Dynamic Data Masking

This stairway will examine Dynamic Data Data Masking, introduced in Azure SQL Database and SQL Server 2016. This should allow you to implement Dynamic Data Masking in your application, understanding the implications of the various masks used on different datatypes.

Default Data Masking

Exploring SQL Server 2016 Dynamic Data Masking – Part One

Greg Larson looks at how to hide the value of sensitive data by applying Dynamic Data Masking.

Understand the Limitations of SQL Server Dynamic Data Masking

Dynamic data masking provides a simple way to implement obfuscation of private data. However it's important to understand the limitations, and to keep in mind that it is not true encryption and that the data cannot be protected in all scenarios. Aaron Bertrand explains.

Learning Dynamic Data Masking

Information and links about Dynamic Data Masking in SQL Server 2016

Use Dynamic Data Masking in SQL Server 2016 CTP 2.1

SQL Server 2016 introduces a new security feature called Dynamic Data Masking (DDM). This tip describes its purpose, shows a brief example of how it works, lists some limitations, and notes how the feature has already changed since CTP 2.0 was first released in May.