{
  "node_id": "mitre-atlas-mitigation-maintain-ai-dataset-provenance",
  "title": "MITRE ATLAS Mitigation Maintain AI Dataset Provenance (AML.M0025) - Maintaining AI Dataset Provenance Across the Lifecycle",
  "domain": "AI Governance & Law",
  "version": "1.0.1",
  "last_updated": "2026-07-22",
  "bluf": "This node operationalises MITRE ATLAS mitigation AML.M0025 (Maintain AI Dataset Provenance). Maintain a detailed history of datasets used for AI applications. The history should include information about the dataset's source as well as a complete record of any modifications. It maps the mitigation to EU AI Act, NIST AI RMF, and ISO/IEC 42001 obligations and drives a 10-gate verification workflow that an AI agent can execute against any production system.",
  "paywall": {
    "status": "LOCKED",
    "unlock_cost_usd": "0.01",
    "skyfire_id": "41779894-ece2-4163-9761-b3b1b76e19b0"
  },
  "crosswalks": {
    "_available_keys": [
      "nist_framework",
      "iso_standard",
      "industry_mapping",
      "ai_overlay_2026"
    ],
    "_note": "Full crosswalk values included in vault response"
  },
  "dependencies": [
    "nist-ai-rmf-1-0",
    "eu-ai-act-2024",
    "iso-iec-42001-ai-management-system-2023"
  ],
  "primary_citations_count": 5
}