Purpose drift
The gap between a system's stated intended purpose and what it actually does today; when the real use moves outside the stated purpose, the file defends a system the organization is no longer running. It is the finding class the attacker most often escalates to fatal, because a file cannot defend a use the system has moved outside of.
Defined in 2 GAGE programs, which carry 3 distinct definitions of it. The wording above is taught in Certified AI Governance Professional (CAIGP).
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.
The gap between a system's stated intended purpose and what it actually does today; when the real use moves outside the stated purpose, the file defends a system the organization is no longer running. It is the finding class the attacker most often escalates to fatal, because a file cannot defend a use the system has moved outside of.
The condition where data collected under one lawful basis and stated purpose is later used for a materially different purpose without a fresh lawful basis assessment; a leading cause of failed audits and a question examiners reliably probe. (see Topic 3.1)
The gradual, often undocumented expansion of a dataset's actual use beyond the purpose it was originally, legitimately collected for, typically occurring through a series of individually small decisions rather than one deliberate choice.
Where it is taught
The exact lessons this term appears in. The first module of every program is free with a free account.
- The "we have always had this data" trap: age does not launder a dataset · Consent, Purpose, and the Law of Data, Certified AI Data Governance Professional (CADGP)
- The audit rehearsal: walking an examiner through lineage without a scramble · Lineage Under Audit, Certified AI Data Governance Professional (CADGP)
- Your conformity file under attack: the red team finds what you missed · Adversarial Governance, Certified AI Governance Professional (CAIGP)
Where it shows up at work
A definition is where Purpose drift starts. The lessons above teach it inside the competencies below, which are what job descriptions ask for and what the GAGE credential records. Every link here is drawn from the same careers map that builds a role's readiness check.
Collects, labels and preserves the evidence that a control operated, a decision was made, and a claim can be defended to an auditor or regulator.
One lesson on this page teach it as a primary outcome.
Roles that hire for it
Each role page shows the full competency set, what the seat decides, and a readiness check against your own evidence.
- Chief Audit Executive, AI audit editionneeds it at depth
- Senior AI Compliance Analystneeds working knowledge
- AI Auditorneeds it at depth · 9 open postings this week
- AI Compliance Specialistneeds working knowledge · 1 open posting this week
- AI Program Managerneeds it at depth · 11 open postings this week
- Security Compliance Managerneeds it at depth · 4 open postings this week
How job descriptions say it
Postings rarely use the textbook word. These are the phrases the careers map reads as asking for the competencies above.
Where the frameworks place it: EU AI Act Articles 11 and 12; ISO/IEC 42001 Clause 7.5.
One interview question about it
What evidence would you have ready before an auditor asks about an AI system, and how do you produce it as a byproduct of the work?
Asked of candidates for evidence collection and audit-ready documentation. Answering it in your own words is exactly how a GAGE topic is passed, and the credential records the pass where an employer can check it.
If you come from another field
Some backgrounds already carry this competency, and the readiness check gives credit for it.
- Compliance and regulatory affairs carries it as work you can show: Audit-ready documentation is what you produce.
- Internal audit and IT audit carries it as work you can show: Evidence evaluation is the profession.
- Project and program management carries it as a claim to back up: Decision logs and repositories are familiar.
Terms it appears with
Not an alphabetical neighbourhood: these are the terms taught in the same lessons, ranked by how often they appear together.