{
  "notice": "Illustrative mapping from the AI Governance Engineer Body of Knowledge v0.5.0 (not a claim of conformity)",
  "version": "0.5.0",
  "license": "CC BY 4.0",
  "licenseUrl": "https://creativecommons.org/licenses/by/4.0/",
  "schemaVersion": 2,
  "schema": "https://aigovernanceengineer.com/api/v1/schemas/obligation.json",
  "self": "https://aigovernanceengineer.com/api/v1/obligations/aige-obl-nistrmf-measure.json",
  "source": "https://aigovernanceengineer.com/obligations/aige-obl-nistrmf-measure",
  "citation": {
    "title": "AI Governance Engineering: The Thesis & Body of Knowledge",
    "authors": [
      "Jorge García Aibar"
    ],
    "parentDoi": "https://doi.org/10.5281/zenodo.22956197",
    "conceptDoi": "https://doi.org/10.5281/zenodo.22857084"
  },
  "obligation": {
    "id": "AIGE-OBL-NISTRMF-MEASURE",
    "url": "https://aigovernanceengineer.com/obligations/aige-obl-nistrmf-measure",
    "json": "https://aigovernanceengineer.com/api/v1/obligations/aige-obl-nistrmf-measure.json",
    "framework": "NIST AI RMF",
    "frameworkId": "nist-ai-rmf",
    "clause": "MEASURE",
    "obligation": "MEASURE",
    "requirement": "Analyse, benchmark and monitor risk",
    "artefact": "Eval gates; adversarial red-team suite; metrics per failure mode",
    "layers": [
      3
    ],
    "dutyHolder": null,
    "scope": null,
    "authority": null,
    "appliesFrom": null,
    "appliesStatus": "voluntary",
    "appliesNote": "Voluntary (AI RMF 1.0, January 2023)",
    "milestones": [],
    "systemClass": [],
    "patterns": [
      {
        "id": "pattern-eval-gate-in-ci",
        "title": "Eval Gate in CI",
        "url": "https://aigovernanceengineer.com/patterns/eval-gate-in-ci"
      },
      {
        "id": "pattern-adversarial-red-team-suite",
        "title": "Adversarial Red-Team Suite",
        "url": "https://aigovernanceengineer.com/patterns/adversarial-red-team-suite"
      },
      {
        "id": "pattern-model-card-as-control-evidence",
        "title": "Model Card as Control Evidence",
        "url": "https://aigovernanceengineer.com/patterns/model-card-as-control-evidence"
      },
      {
        "id": "pattern-ai-threat-model",
        "title": "AI Threat Model",
        "url": "https://aigovernanceengineer.com/patterns/ai-threat-model"
      },
      {
        "id": "pattern-fairness-eval-suite",
        "title": "Fairness Eval Suite",
        "url": "https://aigovernanceengineer.com/patterns/fairness-eval-suite"
      },
      {
        "id": "pattern-explanation-artefact",
        "title": "Explanation Artefact",
        "url": "https://aigovernanceengineer.com/patterns/explanation-artefact"
      },
      {
        "id": "pattern-model-artefact-integrity",
        "title": "Model Artefact Integrity",
        "url": "https://aigovernanceengineer.com/patterns/model-artefact-integrity"
      },
      {
        "id": "pattern-claims-substantiation-gate",
        "title": "Claims Substantiation Gate",
        "url": "https://aigovernanceengineer.com/patterns/claims-substantiation-gate"
      },
      {
        "id": "pattern-decision-notice--contest-path",
        "title": "Decision Notice & Contest Path",
        "url": "https://aigovernanceengineer.com/patterns/decision-notice-contest-path"
      },
      {
        "id": "pattern-rights-requests-against-models",
        "title": "Rights Requests Against Models",
        "url": "https://aigovernanceengineer.com/patterns/rights-requests-against-models"
      },
      {
        "id": "pattern-staged-rollout-with-rollback-criteria",
        "title": "Staged Rollout with Rollback Criteria",
        "url": "https://aigovernanceengineer.com/patterns/staged-rollout-rollback-criteria"
      },
      {
        "id": "pattern-drift--fairness-monitor",
        "title": "Drift & Fairness Monitor",
        "url": "https://aigovernanceengineer.com/patterns/drift-fairness-monitor"
      }
    ],
    "crosswalkTopics": [
      "risk-management",
      "data-governance",
      "documentation-transparency",
      "logging-traceability",
      "robustness-security-evals",
      "fairness-non-discrimination",
      "privacy-data-protection",
      "explainability",
      "conformity-assessment",
      "sandboxes-real-world-testing",
      "environmental-impact"
    ],
    "reviewed": "2026-09-19",
    "chapter": "https://aigovernanceengineer.com/bok/regulatory-map#nist-ai-rmf"
  }
}