[{"data":1,"prerenderedAt":4},["ShallowReactive",2],{"raw-en-use-cases\u002Faudit-assurance":3},"---\ntitle: Audit \u002F Assurance\ndescription: How IQ:NS makes audit and assurance more reliable by mapping controls, evidence, and frameworks into a shared knowledge graph.\nlang: en\nnavigation:\n  section: use-cases\n  label: Audit \u002F Assurance\n  order: 90\n---\n\n# IQ:NS for Audit \u002F Assurance\n\nAudit and assurance teams need to verify that controls, policies, and AI systems are aligned. IQ:NS provides a structured foundation for evidence, control mappings, and cross-framework coverage.\n\n## The challenge\n\nAuditors often rebuild the same mappings in each review cycle. They face inconsistent terminology, multiple frameworks, and fragmented evidence sources.\n\n## What the ontologies provide\n\n- **Evidence mapping** — connect controls and obligations to the underlying systems and processes\n- **Consistent terminology** — one concept links requirements across standards and internal policies\n- **Coverage reporting** — see which frameworks are satisfied and where evidence is missing\n- **Repeatable assurance** — automated queries turn structured knowledge into review-ready artifacts\n\n## How it fits\n\nIQ:NS does not conduct audits, but it makes them far easier. By providing a common vocabulary, assurance teams can focus on validation instead of reconstruction.\n\n[Explore the ontologies](https:\u002F\u002Fgithub.com\u002Fiqns-org\u002Fontologies) · [View pricing](\u002Fservices)\n",1776235631654]