Tokenization
A reversible data protection technique that replaces a sensitive value with a non-sensitive reference token, where the original value can be recovered only by an authorized call to a separate, tightly controlled token vault, used for fields (like payment card numbers) that must occasionally be recovered in full by a narrow, audited process.
Defined in 2 GAGE programs, which carry 2 distinct definitions of it. The wording above is taught in AI Data Governance: The Data Chair.
How each discipline defines it
The same term does different work depending on who is using it. These are the definitions as each program teaches them, unedited.
A reversible data protection technique that replaces a sensitive value with a non-sensitive reference token, where the original value can be recovered only by an authorized call to a separate, tightly controlled token vault, used for fields (like payment card numbers) that must occasionally be recovered in full by a narrow, audited process.
A data-protection technique that replaces a sensitive value with a meaningless token, with the mapping held only in a secure vault, so AI and analytics can operate on the token without ever holding the real data.
Where it is taught
The exact lessons this term appears in. The first 7 topics of every program are free with a free account.
- Row, column, and purpose: access that follows the data's sensitivity, not the org chart · Access and the Keys, AI Data Governance: The Data Chair
- Enterprise Integration Strategy · Technology, Platforms and Vendors, Business AI Transformation
Terms it appears with
Not an alphabetical neighbourhood: these are the terms taught in the same lessons, ranked by how often they appear together.