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With static masking, a separate and distinct copy of the data set is created with masking in place. This is typically done through a script or other process that takes a standard data set, processes it to mask the appropriate and predefined fields, and then outputs the data set as a new one with the completed masking done.
Static
Static Data Masking (SDM) involves creating a sanitized version of the data where sensitive information is obscured, replaced, or scrambled. This "masked" data resides in a separate and distinct copy, ensuring that the original data remains unchanged. The masked copy can then be used in environments where sensitive information should not be exposed, such as development or testing environments.
As per AWS
Static data masking is the process of applying a fixed set of masking rules to sensitive data before it’s stored or shared. It’s commonly used for data that does not change frequently or remains static over time. You predefine the rules and consistently apply them to the data, which ensures consistent masking across multiple environments.
The type of masking strategy that involves making a separate and distinct copy of data with masking in place is called duplication. In this approach, a copy of the data is created and the sensitive information is replaced with fake, but realistic, values. This copy of the data can then be used for testing, development, or other purposes without exposing the sensitive information.
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