IQ:NS for Model Governance
Model governance needs more than model inventories. It needs semantic links between AI capabilities, controls, risk profiles, and organisational policies.
The challenge
Governance teams often struggle to connect models with the obligations they must satisfy. Models are identified in registries, while requirements live in documents and spreadsheets.
What the ontologies provide
- Model context — represent model types, capabilities, use cases, and associated risks
- Policy linkage — map models to the controls, obligations, and standards that apply
- Governance evidence — query the knowledge graph for governance coverage and model-risk relationships
- Cross-team alignment — ensure the same model semantics are used by engineering, risk, and audit teams
How it fits
IQ:NS complements model registries with structured semantics. It does not replace your governance process, but it gives that process a shared vocabulary to work from.