Data masking is a method of creating a structurally similar but inauthentic version of an organization’s data that can be used for purposes such as software testing. The purpose is to protect the actual data while having a functional substitute for occasions when the real data is not required.
Static Data Masking
SDM is Primarily Used to Protect Data in the Following Scenarios:
Application Development and Testing
Protect data and reduce the scope of compliance in dev and test environments where users need quality data without seeing production data.
Data Publishing and Sharing
Deidentify data for exchange among various parties or for publication.
Business Intelligence (BI) and Analytics
Protect data consumed by business application users where some or all users need to be prevented from seeing production data.
Dynamic Data Masking
DDM is Primarily Used to Protect Data in the Following Scenarios:
Business Applications
Stored production data consumed by business application users, where some users are unauthorized to see original data.
BI and Analytics
Protect data consumed by business application users where some or all users need to be prevented from seeing production data.
Application Development and Testing
Only a few authorized users need to see actual data or if regulations prevent the effective use of SDM.