Version control
A system, most commonly Git, that tracks every change made to a document, diagram, or code file over time, recording who made the change, when, and why, allowing a document's full history to be reviewed and preventing silent, untracked drift.
Defined in 3 GAGE programs, which carry 3 distinct definitions of it. The wording above is taught in Engineering Judgment and Professional Formation.
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 system, most commonly Git, that tracks every change made to a document, diagram, or code file over time, recording who made the change, when, and why, allowing a document's full history to be reviewed and preventing silent, untracked drift.
The practice, named explicitly in the framework's headline bullet for this dimension, of tracking every change to an agent's model, tools, and instructions over time in a retrievable, auditable form.
The practice of preserving a document's full history of changes over time, so a request for its state at a past date can be answered accurately rather than reconstructed from memory.
Where it is taught
The exact lessons this term appears in. The first module of every program is free with a free account.
- Change Management · Rollout, Monitoring, and Incident Response, Certified Agentic AI Governance Professional (CAAGP)
- Your Influence Architecture, Documented and Defensible · Compliant Influence Architecture, The AI Lobbyist: Certified AI Policy Strategist
- Diagrams and documentation that others can use · Design Reviews and Engineering Communication, Engineering Judgment and Professional Formation
Where it shows up at work
A definition is where Version control 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.
Spots a regulatory change, decides applicability, assigns actions, updates controls and keeps the implementation evidence.
One lesson on this page teach it as a primary outcome.
Sets performance metrics, thresholds and review triggers after launch, and treats a model change, a vendor update or new data as a reason to re-check.
One lesson on this page teach it as a primary outcome.
Interviews, facilitates, challenges and secures action across legal, security, product and business teams without owning every decision.
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.
- Senior AI Compliance Analystneeds it at depth
- AI Compliance Managerneeds it at depth · 2 open postings this week
- AI Compliance Specialistneeds it at depth · 1 open posting this week
- Chief Compliance Officer, AI compliance editionneeds it at depth
- VP of AI Governance and Ethicsneeds working knowledge
- Responsible AI Leadneeds it at depth · 7 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: ISO/IEC 42001 Clause 4.2; ISO 37301; EU AI Act Article 72; NIST AI RMF MEASURE 3 and MANAGE 4.
One interview question about it
A new regulation lands. How do you decide what changes in your program by when, and how do you prove you noticed in time?
Asked of candidates for regulatory change management. 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: Regulatory change logs and applicability decisions are your work product.
- Legal and paralegal work carries it as a claim to back up: Tracking regulatory change is habitual.
- Model risk, credit risk and quantitative analysis carries it as a claim to back up: Performance monitoring thresholds 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.