{
  "node_id": "mitre-atlas-llm-prompt-injection",
  "title": "MITRE ATLAS LLM Prompt Injection Techniques (AML.T0051) - Adversarial Inputs to Manipulate Large Language Model Behaviour and Bypass Safety Controls",
  "domain": "AI Governance & Law",
  "version": "1.0.1",
  "last_updated": "2026-07-22",
  "bluf": "This node addresses MITRE ATLAS technique AML.T0051 (LLM Prompt Injection), focusing on adversarial inputs designed to manipulate large language model behavior and bypass safety controls. Compliance frameworks such as the EU AI Act and NIST AI RMF require organizations to implement robust defenses against such threats to ensure AI system integrity and trustworthiness.",
  "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"
  ],
  "primary_citations_count": 6
}