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From ,SQL, Server 2016+ you could use Dynamic Data ,Masking, feature.. Dynamic data ,masking, limits sensitive data exposure by ,masking, it to non-privileged users. Dynamic data ,masking, helps prevent unauthorized access to sensitive data by enabling customers to designate how much of the sensitive data to reveal with minimal impact on the application layer.
25/1/2016, · ,SQL, Server 2016 and Azure ,SQL, DB now offer a built-in feature that helps limit access to those particular sensitive data fields: Dynamic Data ,Masking, (DDM). DDM can be used to hide or obfuscate sensitive data, by controlling how the data appears in the output of database queries.
masking, routines need to be tweaked further, the DBA restores the database to the pre-masked state, fixes the ,masking, algorithms and re-executes the ,masking, process. We will now dive deep into the individual steps and cover the best practice for enterprises to
2/1/2006, · In your earlier discussion with Tony on their "Dynamic Data ,Masking, solution at the ,SQL,*Net Protocol Layer", you said that FGA does it and it is built-in. However, I thought the goal of the Tony's approach was to ,mask, the data on its way to the user, while FGA is just a data protection feature.
Many companies I interact with have expressed an interest in migrating their legacy ,SQL, Server databases to Azure. Typically this is due to End of Life for ,SQL, Server 2008 (and 2008 R2) and other times it’s a desire to perform reporting and analytics on existing data in the cloud. (I wrote about migrating to Azure ,SQL, previously here). Mostly this is all documented nicely on docs.microsoft ...
- [Joey] ,SQL, Server 2016 introduced major security enhancements that have continued to evolve into ,SQL, Server 2017. Some of these features include better encryption using Always Encrypted technology, row level security to prevent users from seeing data that they shouldn't see and dynamic data ,masking, to hide things like credit card numbers, and all of these things work together to help you ...