{
  "node_id": "mitre-atlas-indirect",
  "title": "MITRE ATLAS Indirect (AML.T0051.001) - Adversarial Indirect 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.T0051.001 (Indirect). An adversary may inject prompts indirectly via separate data channel ingested by the LLM such as include text or multimedia pulled from databases or websites. These malicious prompts may be hidden or obfuscated from the user. This type of injection may be used by the adversary to gain a foothold in the system or to target an unwitting user of the system. 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.T0051. ATLAS-mapped mitigations: AML.M0024 AI Telemetry Logging, AML.M0033 Input and Output Validation for AI Agent Components.",
  "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-ai-telemetry-logging",
    "mitre-atlas-mitigation-input-and-output-validation-for-ai-agent-components"
  ],
  "primary_citations_count": 7
}