Framework · AI management
ISO/IEC 42001, with evidence behind it.
ISO/IEC 42001 is the first certifiable management-system standard for AI. The clauses ask for structure, the audit asks for operating evidence, and Meilynx produces that evidence from live traffic: what runs, what rules applied, and a record an auditor can verify.
A management system that demonstrably operates.
42001 follows the familiar ISO management-system shape (context, leadership, planning, support, operation, performance evaluation, improvement) applied to AI, with Annex A controls covering the AI system lifecycle, data, and third parties.
- A defined AIMS scope: which AI systems, uses, and roles are covered.
- Operational controls over how AI systems are developed, deployed, and used.
- Performance evaluation: monitoring, measurement, and internal audit.
- Documented information that shows the system operating.
Each clause, to operating evidence.
A specific Meilynx control for each evidential expectation, and the artifact it produces.
ISO/IEC 42001 → Meilynx controls
| Requirement | How Meilynx maps | Examination artifact |
|---|---|---|
Know which AI systems the organization operates ISO/IEC 42001 · Cl. 4, A.6 | The inventory of models and AI systems in use is derived from live traffic through the proxy. The AIMS scope starts from what actually runs, and shadow AI use surfaces. | AI system inventory, generated from traffic |
Operational planning and control of AI use ISO/IEC 42001 · Cl. 8 | Policy-as-code turns the AIMS's documented rules into inline enforcement: model allowlists, data-class controls, and usage restrictions applied on every call. | Policy snapshot + enforcement records |
Monitoring, measurement, analysis and evaluation ISO/IEC 42001 · Cl. 9.1 | Each AI call carries monitoring telemetry (model, usage, cost, latency, and governance findings), giving the AIMS performance-evaluation clause continuous operating data instead of periodic sampling. | Monitoring telemetry + findings log |
Records that demonstrate the AIMS operates ISO/IEC 42001 · Cl. 7.5, 9.2 | A tamper-evident, hash-chained audit trail of each AI response the proxy delivers and each request it blocks, with its governance decision attached, gives internal audit and certification bodies documented information whose integrity they can verify independently. | Examination-ready audit trail |
Oversight of third-party AI components and providers ISO/IEC 42001 · A.10 | Because the proxy sits between your applications and every LLM provider, third-party model use is observed, constrained, and evidenced at the boundary, without provider cooperation. | Provider usage record per system |
Know which AI systems the organization operates
ISO/IEC 42001 · Cl. 4, A.6
Maps to · The inventory of models and AI systems in use is derived from live traffic through the proxy. The AIMS scope starts from what actually runs, and shadow AI use surfaces.
Examination artifact · AI system inventory, generated from traffic
Operational planning and control of AI use
ISO/IEC 42001 · Cl. 8
Maps to · Policy-as-code turns the AIMS's documented rules into inline enforcement: model allowlists, data-class controls, and usage restrictions applied on every call.
Examination artifact · Policy snapshot + enforcement records
Monitoring, measurement, analysis and evaluation
ISO/IEC 42001 · Cl. 9.1
Maps to · Each AI call carries monitoring telemetry (model, usage, cost, latency, and governance findings), giving the AIMS performance-evaluation clause continuous operating data instead of periodic sampling.
Examination artifact · Monitoring telemetry + findings log
Records that demonstrate the AIMS operates
ISO/IEC 42001 · Cl. 7.5, 9.2
Maps to · A tamper-evident, hash-chained audit trail of each AI response the proxy delivers and each request it blocks, with its governance decision attached, gives internal audit and certification bodies documented information whose integrity they can verify independently.
Examination artifact · Examination-ready audit trail
Oversight of third-party AI components and providers
ISO/IEC 42001 · A.10
Maps to · Because the proxy sits between your applications and every LLM provider, third-party model use is observed, constrained, and evidenced at the boundary, without provider cooperation.
Examination artifact · Provider usage record per system
What you show a certification body.
The audit trail renders into a package aligned to the AIMS evidential clauses: scope drawn from real traffic, controls in force, monitoring results, and a record whose integrity is verifiable.
In the package
- AI system inventory, auto-populated from traffic.
- Control coverage across the audit period.
- Versioned governance policy snapshot.
- SHA-256 integrity hash over the audit chain.
ISO/IEC 42001, honestly.
Does Meilynx certify us against ISO/IEC 42001?
No. Certification is a conclusion your certification body reaches about your AI management system as a whole: leadership, planning, impact assessment, and operation. Meilynx supplies the operational-evidence layer: the inventory, enforcement records, monitoring data, and tamper-evident audit trail that an AIMS audit asks to see operating.
How does ISO/IEC 42001 relate to the EU AI Act?
They are complementary. The Act is law with obligations and timelines; 42001 is a voluntary management-system standard many firms adopt as the organizing structure for meeting them. The operational evidence largely overlaps (logging, oversight, usage control), which is why the same Meilynx audit chain feeds both.
We're a financial-services firm. Why would we add 42001 to SR 26-2 model risk?
Model risk guidance covers models; 42001 covers the management system around all AI use, including the generative and agentic systems that SR 26-2 explicitly places outside model risk scope. Firms adopt it to give that uncovered territory a defensible, auditable structure.
Build the evidence.
See exactly what an examiner receives
Request a sample examination package: model inventory, control coverage, a governance policy snapshot, and a SHA-256 integrity hash.