Security is often something people think about only after they have had a problem. Given that the average cost of a data breach is $3.92 million (SecurityIntelligence 2019) and ransomware attacks have increased 97% over the past 2 years (PhishMe 2019), the "if it's not broke, don't fix it" approach can clearly be catastrophic. Here […]
2019-10-07
4,064 reads
The newest version of Data Masker for SQL Server includes a new rules window with in-product guidance for choosing the right rule, and a new menu bar for fast access to the items you need.
2019-07-29
2018-11-12
669 reads
Anoop Kumar shows you the SQL Commands (T-SQL) to secure PII/PHI data using the SQL Server Dynamic Data Masking (DDM) feature and explores DDM's built in functions to mask all critical data elements. DDM restricts unauthorized users from accessing critical data with no changes in the application.
2018-02-12
2,929 reads
Azure SQL Database’s Dynamic Data Masking (DDM) feature limits the exposure of sensitive information to non-privileged users. DDM can mask either the full value or partial value in a column. This method can also mask Social Security and Credit Card Numbers without making any changes to the application.
2017-11-22
2,211 reads
2017-06-16
987 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
2016-05-16
2,310 reads
2016-04-13
1,175 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
By Gerard
This is the fourth and final post in a series about modern Data Lake...
I love this error. Primarily because it demonstrates two very important things. Errors matter....
sys.dm_db_missing_index_details shows we need to create an index based on the columns under equality_columns...
Comments posted to this topic are about the item From Source Control to Database...
Comments posted to this topic are about the item The Schema Name
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