[{"data":1,"prerenderedAt":4},["ShallowReactive",2],{"raw-en-features":3},"---\ntitle: Features & Capabilities\ndescription: What IQ:NS provides — open ontologies, cross-framework mappings, SPARQL access, and agent-ready integration.\nlang: en\nnavigation:\n  section: platform\n  label: Features\n  order: 10\n---\n\n# Features & Capabilities\n\n## Open ontologies\n\n50+ ontologies covering AI, legal, finance, health, government, enterprise, and more. Each one modelled in RDF\u002FOWL with SKOS alignments, published as versioned Turtle files.\n\nEvery concept has:\n- A stable IRI (permanent identifier, not a database row)\n- A formal definition sourced to the original text\n- Relationships to related concepts across frameworks\n- Cross-framework mappings (`skos:exactMatch`, `skos:broadMatch`, `skos:relatedMatch`)\n\n---\n\n## Cross-framework intelligence\n\nFrameworks use different words for the same ideas. IQ:NS maps them structurally:\n\n- EU AI Act Article 9 ↔ NIST AI RMF Map function ↔ ISO 42001 Clause 6.1 (risk management)\n- GDPR Article 22 ↔ EU AI Act Chapter IV (transparency)\n- ISO 24027 ↔ NIST Measure 2.6 (bias and fairness)\n\nOne query spans every standard. One control can satisfy multiple frameworks — and the mapping proves it.\n\n---\n\n## Contextual profiling\n\nNot everything applies to everyone. Profile by:\n- **Jurisdiction** — EU, US, UK, APAC\n- **Sector** — finance, healthcare, government, HR\n- **AI capability** — LLM, biometric, credit scoring, autonomous decisions\n\nGet a precise, deduplicated set of what's relevant — not 40 frameworks, just what matters to your context.\n\n---\n\n## SPARQL endpoint\n\nThe full graph is queryable:\n\n```sparql\nSELECT ?obligation ?isoControl ?nistControl\nWHERE {\n  ?obligation skos:exactMatch ?isoControl ;\n              skos:exactMatch ?nistControl .\n  ?isoControl ai:partOf \u003Ciso-42001> .\n  ?nistControl ai:partOf \u003Cnist-ai-rmf> .\n}\n```\n\nAny tool that speaks SPARQL — BI platforms, data warehouses, agent frameworks — can query the ontologies directly.\n\n---\n\n## MCP for agentic workflows\n\nEvery concept has a stable IRI, machine-readable definition, and formal relationships. AI agents query the graph and get structured, typed answers — no PDF prompt-stuffing required.\n\n---\n\n## Integration\n\nIQ:NS plugs into existing tools:\n\n- **GRC platforms** — OneTrust, Vanta, ServiceNow\n- **Data catalogs** — Collibra, Alation\n- **Model registries** — MLflow, Weights & Biases\n- **Cloud platforms** — AWS, Azure, GCP\n- **Development tools** — Jira, CI\u002FCD pipelines\n- **ITSM** — ITIL v3\u002Fv4 SKMS connectors\n\nNo forced migrations. The ontologies meet you where your tools are.\n\n---\n\n## Versioned and portable\n\nEvery ontology is versioned. Exported as standard RDF Turtle. If you leave, you take a complete, standards-compliant knowledge graph with you. No lock-in.\n\n---\n\n[Explore on GitHub](https:\u002F\u002Fgithub.com\u002Fiqns-org\u002Fontologies) · [See the technology](\u002Ftech) · [View pricing](\u002Fservices)\n",1776235610365]