[{"data":1,"prerenderedAt":4},["ShallowReactive",2],{"raw-en-articles\u002Foperationalising-compliance-with-obligation-control-and-evidence-ontologies":3},"---\ntitle: Operationalising compliance with obligation, control, and evidence ontologies\ndescription: How to operationalize compliance with obligation, control, and evidence ontologies\nlang: en\nnavigation:\n  enabled: false\n  section: articles\n  order: 30\ntags:\n  - compliance\n  - ontology\n---\nThe hidden cost of compliance frameworks is translation—every team locally reinterprets policy.\n\n## Why this matters\n\nCompliance controls only work when every team interprets them consistently.\n\n## What this looks like in practice\n\n- A compliance requirement reads the same whether in policies or encoded in software controls.\n- Audit trails answer the same questions pulled from logs, human processes, or AI systems.\n- Risk assessments use identical criteria across frameworks, regions, and business units.\n\n## How teams use it\n\n- connecting regulatory language to control implementation without manual translation\n- tracking compliance artifacts across audit, operations, and risk with shared definitions\n- proving equivalence between legacy controls and new technology implementations\n\nRegulatory oversight is more effective when both sides speak the same language.\n",1776235588178]