{
  "node_id": "mitre-atlas-discover-llm-hallucinations",
  "title": "MITRE ATLAS Discover LLM Hallucinations (AML.T0062) - Adversarial Discovery of LLM Hallucinations for Exploitation",
  "domain": "AI Governance & Law",
  "version": "1.0.1",
  "last_updated": "2026-07-22",
  "bluf": "This node addresses MITRE ATLAS technique AML.T0062 (Discover LLM Hallucinations). Adversaries may prompt large language models and identify hallucinated entities. They may request software packages, commands, URLs, organization names, or e-mail addresses, and identify hallucinations with no connected real-world source. Discovered hallucinations provide the adversary with potential targets to Publish Hallucinated Entities. Different LLMs have been shown to produce the same hallucinations, so the hallucinations exploited by an adversary may affect users of other LLMs. Defending against this technique is required under EU AI Act, NIST AI RMF, and ISO/IEC 42001 obligations; this node operationalises the documented ATLAS mitigations and cross-instrument controls into a deterministic verification workflow.",
  "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",
    "mitre-atlas-mitigation-restrict-number-of-ai-model-queries",
    "mitre-atlas-mitigation-generative-ai-guardrails",
    "mitre-atlas-mitigation-generative-ai-guidelines",
    "mitre-atlas-mitigation-generative-ai-model-alignment",
    "mitre-atlas-llm-prompt-injection"
  ],
  "primary_citations_count": 10
}