{
  "node_id": "mitre-atlas-ml-model-fingerprinting",
  "title": "MITRE ATLAS AI Model Fingerprinting for Targeted Adversarial Attack Preparation (AML.T0014) - Compliance Obligations for AI Model Identification Prevention, API Response Consistency Controls, and Adversarial Profiling Detection",
  "domain": "AI Governance & Law",
  "version": "1.0.1",
  "last_updated": "2026-07-22",
  "bluf": "This node addresses compliance obligations to prevent ML model fingerprinting under MITRE ATLAS technique AML.T0014, focusing on AI model identification prevention and adversarial profiling detection as mandated by the EU AI Act (Articles 5, 15, and 50). It outlines controls for API response consistency and risk mitigation strategies aligned with high-risk AI system requirements.",
  "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": [
    "eu-ai-act-2024",
    "nist-ai-rmf-1-0",
    "iso-42001-risk-assess"
  ],
  "primary_citations_count": 5
}