{
  "node_id": "mitre-atlas-mitigation-use-ensemble-methods",
  "title": "MITRE ATLAS Mitigation Use Ensemble Methods (AML.M0006) - Ensemble Methods for Adversarial Robustness",
  "domain": "AI Governance & Law",
  "version": "1.0.1",
  "last_updated": "2026-07-22",
  "bluf": "This node operationalises MITRE ATLAS mitigation AML.M0006 (Use Ensemble Methods). Use an ensemble of models for inference to increase robustness to adversarial inputs. Some attacks may effectively evade one model or model family but be ineffective against others. It maps the mitigation to EU AI Act, NIST AI RMF, and ISO/IEC 42001 obligations and drives a 10-gate verification workflow that an AI agent can execute against any production system.",
  "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
}