{
  "node_id": "mitre-atlas-use-pre-trained-model",
  "title": "MITRE ATLAS Use Pre-Trained Model (AML.T0005.002) - Adversarial Use Pre-Trained Model threat to AI systems",
  "domain": "AI Governance & Law",
  "version": "1.0.1",
  "last_updated": "2026-07-22",
  "bluf": "This node addresses MITRE ATLAS technique AML.T0005.002 (Use Pre-Trained Model). Adversaries may use an off-the-shelf pre-trained model as a proxy for the victim model to aid in staging the attack. Defending against this technique is required under EU AI Act, NIST AI RMF, and ISO/IEC 42001 obligations; this node operationalises the documented ATLAS mitigations and cross-instrument controls into a deterministic verification workflow. Sub-technique of ATLAS AML.T0005. ATLAS-mapped mitigations: AML.M0000 Limit Public Release of Information.",
  "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",
    "mitre-atlas-mitigation-limit-public-release-of-information"
  ],
  "primary_citations_count": 6
}