{
  "node_id": "mitre-atlas-extract-system-prompt",
  "title": "MITRE ATLAS LLM System Prompt Extraction Techniques (AML.T0056) - Intellectual Property Protection and Confidential AI Configuration Disclosure Compliance Obligations",
  "domain": "AI Governance & Law",
  "version": "1.0.1",
  "last_updated": "2026-07-22",
  "bluf": "This node addresses adversarial techniques for extracting system prompts from large language models as defined in MITRE ATLAS AML.T0056 (LLM System Prompt Extraction), focusing on compliance obligations under frameworks like the EU AI Act and NIST AI RMF to protect intellectual property and confidential AI configurations. It outlines mandatory defenses against unauthorized disclosure of sensitive model instructions.",
  "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
}