Data masking is the process of obscuring data such that it cannot identify a specific person but remains practically useful.
What is Data Masking?
Data masking is a technique for producing a synthetic copy of your organization's data that looks realistic.
When genuine data is not required, such as during software testing, user training, or sales demos, the aim is to secure sensitive data while offering a functioning substitute.
Data masking procedures use the same format but modify the data's values.
Making a version that cannot be cracked or reverse-engineered is the aim.
Character shuffle, word or character substitution, and encryption are only a few methods for changing the data.
You can make a clean copy of the database using static data masking procedures.