{
  "node_id": "mitre-atlas-generative-ai",
  "title": "MITRE ATLAS Generative AI (AML.T0016.002) - Adversarial Generative AI threat to AI systems",
  "domain": "AI Governance & Law",
  "version": "1.0.1",
  "last_updated": "2026-07-22",
  "bluf": "This node addresses MITRE ATLAS technique AML.T0016.002 (Generative AI). Adversaries may search for and obtain generative AI models or tools, such as large language models (LLMs), to assist them in various steps of their operation. Generative AI can be used in a variety of malicious ways, such as to generating malware, to Generate Deepfakes, to Generate Malicious Commands, for Retrieval Content Crafting, or to generate Phishing content. Adversaries may obtain open source models and serve them locally using frameworks such as Ollama or vLLM. They may host them using cloud infrastructure. Or, they may leverage AI service providers such as HuggingFace. They may need to jailbreak the model (see LLM Jailbreak) to bypass any restrictions put in place to limit the types of responses it can generate. They may also need to break the terms of service of the model's devel... 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. Sub-technique of ATLAS AML.T0016.",
  "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": 5
}