Data masking refers to a process of hiding original data with modified content. It is a process of creating a similarly structured but inauthentic version of any organization’s data that can be used for purposes such as software testing and user training. It basically ensures that only those people can see the data who need to see it and ensuring the appropriate time for it.
Benefits of Data Masking
Data masking is essential in almost all regulatory industries. Personal, identifiable information needs to be protected from overexposure. Hence, by masking data, an organization exposes a certain amount of data only to their testers or database administrators which therefore gives reduced security risk.
Let's check out the tools, techniques and types of data masking.