{
  "node_id": "mitre-atlas-rag-poisoning",
  "title": "MITRE ATLAS RAG Poisoning Techniques (AML.T0070) - Persistence and Information Integrity Attacks Against Retrieval-Augmented Generation Systems Used in Regulated AI Applications",
  "domain": "AI Governance & Law",
  "version": "1.0.1",
  "last_updated": "2026-07-22",
  "bluf": "This node addresses MITRE ATLAS RAG Poisoning Techniques (AML.T0070), focusing on adversarial attacks that compromise retrieval-augmented generation systems by poisoning data sources or manipulating outputs, with compliance obligations under frameworks like the EU AI Act and NIST AI RMF requiring robust defenses against such integrity attacks.",
  "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
}