{
  "node_id": "mitre-atlas-mitigation-ai-model-distribution-methods",
  "title": "MITRE ATLAS Mitigation AI Model Distribution Methods (AML.M0017) - AI Model Distribution Methods to Reduce Extraction Risk",
  "domain": "AI Governance & Law",
  "version": "1.0.1",
  "last_updated": "2026-07-22",
  "bluf": "This node operationalises MITRE ATLAS mitigation AML.M0017 (AI Model Distribution Methods). Deploying AI models to edge devices can increase the attack surface of the system. Consider serving models in the cloud to reduce the level of access the adversary has to the model. Also consider computing features in the cloud to prevent gray-box attacks, where an adversary has access to the model preprocessing methods. 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
}