Data masking, as we know, obscures sensitive information by replacing it with realistic but fake values, making it suitable for use in testing, demonstrations, or analytics.
It preserves the structure of the original data while altering its values through sophisticated algorithms, making it impossible to reverse-engineer the masked data.
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