Which of the following techniques is specifically designed to obscure sensitive data by replacing it with realistic but fictitious values so that the data set remains usable for developers and testers while protecting the original information from unauthorized disclosure?
Data masking intentionally substitutes realistic but fake values (for example, shuffling or substituting names, account numbers, or dates) for the original sensitive data. Because the format and fields remain consistent, developers, testers, and analysts can still use the data set, but the real values cannot be reconstructed. Techniques such as lossless compression, differential backup, and multifactor authentication do not serve this purpose: compression reduces file size, backup provides data recovery, and multifactor authentication verifies user identity rather than altering data.
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What are some common methods of data masking?
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What are the differences between data masking and data encryption?