{
  "node_id": "mitre-atlas-exfiltration-via-ai-inference",
  "title": "MITRE ATLAS Exfiltration via AI Inference API Techniques (AML.T0024) - Model Inversion, Training Data Membership Inference, and AI Model Extraction Attacks Under Data Protection Law",
  "domain": "AI Governance & Law",
  "version": "1.0.1",
  "last_updated": "2026-07-22",
  "bluf": "This node addresses adversarial AI techniques under MITRE ATLAS AML.T0024, including model inversion, training data membership inference, and AI model extraction attacks, with compliance obligations mandated by frameworks like the EU AI Act and NIST AI RMF to implement robust defenses against data exfiltration risks.",
  "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-iec-42001-ai-management-system-2023"
  ],
  "primary_citations_count": 6
}