Microsoft has introduced very impressive new security feature in SQL Server 2016 called Dynamic Data Masking (DDM).Dynamic Data Masking allow user to decide how much of the sensitive data to reveal with minimal impact on the application layer.
2017-01-05
4,424 reads
Dynamic Data Masking is an exciting new feature in SQL Server 2016, allowing DBAs to centrally set a mask that is returned for a table column instead of the actual data, limiting what information is returned to certain users in a consistent and reliable way. What’s more, Redgate SQL Compare safely and reliably handles your DDM changes. Data Platform MVP Steve Jones explains more.
2016-07-21
3,492 reads
Learn about the permissions associated with Dynamic Data Masking as well as some of the security implications of using this feature.
2022-05-25 (first published: 2016-06-29)
8,632 reads
2016-05-16
2,734 reads
2016-04-13
1,183 reads
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.
2016-04-07
4,873 reads
Continuing with his look at Dynamic Data Masking, Steve Jones looks at the masking patterns available besides the default mask.
2022-05-04 (first published: 2016-04-06)
3,649 reads
This article digs deeper into the ways that Dynamic Data Masking works with different data types.
2021-03-31 (first published: 2016-03-23)
4,676 reads
2016-03-21
1,302 reads
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.
2016-03-15
3,351 reads
By Steve Jones
I had a lot of local branches for a repo (actually a few repos)....
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