All of the following are terms used to described the practice of obscuring original raw data so that only a portion is displayed for operational purposes, except:

Tokenization replaces sensitive data with a non-sensitive substitute (token) while maintaining referential integrity, obscuring the original data.

Data discovery is the process of locating, identifying, and cataloging data, particularly sensitive data, within an organization's systems, rather than a method of obscuring it. It precedes techniques like masking or tokenization.

Obfuscation refers to making data unclear or unintelligible to obscure its meaning, which includes various techniques like masking or encryption.

Masking replaces sensitive data with structurally similar but inauthentic data, ensuring that the original sensitive values are not exposed, especially in non-production environments.