Article 74 (market surveillance)
The EU AI Act provision applying the EU's general market-surveillance regime (Regulation (EU) 2019/1020) to AI systems and granting authorities, where necessary for their tasks, full access to documentation and to training, validation, and testing datasets (Article 74(12)). Source code sits behind a second, tighter gate: access only on a reasoned request, and only once the authority shows the access is necessary to evaluate conformity and that testing and auditing on the provider's documentation and data have already proven insufficient (Article 74(13)) (Regulation (EU) 2024/1689, Article 74).
Defined in 2 GAGE programs, which carry 2 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 EU AI Act provision applying the EU's general market-surveillance regime (Regulation (EU) 2019/1020) to AI systems and granting authorities, where necessary for their tasks, full access to documentation and to training, validation, and testing datasets (Article 74(12)). Source code sits behind a second, tighter gate: access only on a reasoned request, and only once the authority shows the access is necessary to evaluate conformity and that testing and auditing on the provider's documentation and data have already proven insufficient (Article 74(13)) (Regulation (EU) 2024/1689, Article 74).
The Act's provision giving national market surveillance authorities the power, live from 2 August 2026, to review technical documentation, audit a system, and demand source code access when documentation proves insufficient.
Where it is taught
The exact lessons this term appears in. The first module of every program is free with a free account.
- Article 10 executed: the EU AI Act's data governance duty for the system your organization ships · Lineage Under Audit, Certified AI Data Governance Professional (CADGP)
- Answering a regulator's letter: responding with documents, not assurances, anchored to real enforcement patterns · The EU AI Act: The Executive Map, Certified AI Governance Professional (CAIGP)
Where it shows up at work
A definition is where Article 74 (market surveillance) 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.
Profiles data, sets rules and thresholds, monitors, assigns issues to owners, and knows when data is not fit to train or run a model.
One lesson on this page teach it as a primary outcome.
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.
Reads and applies content provenance infrastructure: C2PA content credentials, watermarking, machine readable AI labels, and the transparency duties that now require them.
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.
- AI Model Validatorneeds working knowledge
- Chief Data Officer, data leadership editionneeds it at depth
- Data Governance Leadneeds it at depth · 2 open postings this week
- 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
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 Article 10; ISO 8000; EU AI Act Articles 11 and 12; ISO/IEC 42001 Clause 7.5.
One interview question about it
Which data quality rules would you monitor for a model in production, and what happens when one fails?
Asked of candidates for data quality rules and monitoring. 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.
- Data analysis, stewardship and business intelligence carries it as work you can show: Quality rules and profiling results are your artifacts.
- A data science, statistics or analytics degree carries it as a claim to back up: Data quality rules are familiar; monitoring them in production is new.
- Compliance and regulatory affairs carries it as work you can show: Audit-ready documentation is what you produce.
Terms it appears with
Not an alphabetical neighbourhood: these are the terms taught in the same lessons, ranked by how often they appear together.