The process of creating structurally similar but inauthentic data to protect sensitive information in non-production environments while maintaining data utility.
Data masking reduces insider risk by ensuring that sensitive production data is not exposed in development, testing, or training environments. It allows organizations to maintain data utility while protecting against unauthorized access to real customer or business data.