Data masking involves substituting sensitive data with fictitious yet realistic values. This anonymization maintains the integrity of the original dataset while rendering it useless to unauthorized users. Depending on the data’s location and use, different masking methods can be applied to ensure privacy while enabling analysis. This article explores how data masking addresses the growing...