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In the present age of digital technology, people have taken steps to mask their data to protect themselves.
Data masking is a method for creating a synthetic copy of your company's data that appears to be real. The objective is to secure sensitive data and simultaneously provide a functional substitute when true data is not required, such as during software testing, user training, or sales demos. Data masking techniques affect the values of the data while maintaining the same format.
In order to ensure privacy and keep sensitive data safe for support, the data is typically recognized via masking and de-sensitized. In the present age of digital technology, people have taken steps to mask their data to protect themselves. Further, anonymization is the process of removing or masking personal identifiers from a data set so that, even when the data set is correlated with other data sets, it can never be used to identify an individual.
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