4/21/2020 Sql Server Data Masking Tools
Mar 08, 2017 SQL Server 2016 introduced dynamic data masking (DDM) as a way to prevent unauthorized users from viewing certain types of sensitive information. The database engine masks the data when it is retrieved from the database, based on masking rules defined on the column schema. The data stored within the database remains unchanged.
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Dynamic Data Masking. 9 minutes to read.In this articleAPPLIES TO: SQL Server Azure SQL Database Azure Synapse Analytics (SQL DW) Parallel Data WarehouseDynamic data masking (DDM) limits sensitive data exposure by masking it to non-privileged users. It can be used to greatly simplify the design and coding of security in your application.Dynamic data masking helps prevent unauthorized access to sensitive data by enabling customers to specify how much sensitive data to reveal with minimal impact on the application layer. DDM can be configured on designated database fields to hide sensitive data in the result sets of queries.
With DDM the data in the database is not changed. Dynamic data masking is easy to use with existing applications, since masking rules are applied in the query results. Many applications can mask sensitive data without modifying existing queries. A central data masking policy acts directly on sensitive fields in the database. Designate privileged users or roles that do have access to the sensitive data. DDM features full masking and partial masking functions, and a random mask for numeric data.
Simple Transact-SQL commands define and manage masks.As an example, a call center support person may identify callers by several digits of their social security number or credit card number. Social security numbers or credit card numbers should not be fully exposed to the support person. A masking rule can be defined that masks all but the last four digits of any social security number or credit card number in the result set of any query. For another example, by using the appropriate data mask to protect personally identifiable information (PII) data, a developer can query production environments for troubleshooting purposes without violating compliance regulations.The purpose of dynamic data masking is to limit exposure of sensitive data, preventing users who should not have access to the data from viewing it. Dynamic data masking does not aim to prevent database users from connecting directly to the database and running exhaustive queries that expose pieces of the sensitive data. Dynamic data masking is complementary to other SQL Server security features (auditing, encryption, row level security.) and it is highly recommended to use this feature in conjunction with them in addition in order to better protect the sensitive data in the database.Dynamic data masking is available in SQL Server 2016 (13.x) and Azure SQL Database, and is configured by using Transact-SQL commands. For more information about configuring dynamic data masking by using the Azure portal, see.
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Defining a Dynamic Data MaskA masking rule may be defined on a column in a table, in order to obfuscate the data in that column. Four types of masks are available.
Hi PrashSalunkhe,Please refer the discussion of thiswhich has the similar request as yours. Per this thread, the link provided by Raulabout how to g enera te t estd ata using Visual Studio Team System Database Edition may help you( ).And also please refer this blog aboutMasking Data:Thanks,Weilin QiaoPlease remember to mark the replies as answers if they help and unmark them if they provide no help.
This can be beneficial to other community members reading the thread. Hi PrashSalunkhe,Please refer the discussion of thiswhich has the similar request as yours.
Per this thread, the link provided by Raulabout how to g enera te t estd ata using Visual Studio Team System Database Edition may help you( ).And also please refer this blog aboutMasking Data:Thanks,Weilin QiaoPlease remember to mark the replies as answers if they help and unmark them if they provide no help. This can be beneficial to other community members reading the thread.
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