{
  "node_id": "mitre-atlas-white-box-optimization",
  "title": "MITRE ATLAS White-Box Optimization (AML.T0043.000) - Adversarial White-Box Optimization 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.T0043.000 (White-Box Optimization). In White-Box Optimization, the adversary has full access to the target model and optimizes the adversarial example directly. Adversarial examples trained in this manner are most effective against the target model. 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.T0043. ATLAS-mapped mitigations: AML.M0003 Model Hardening, AML.M0005 Control Access to AI Models and Data at Rest, AML.M0006 Use Ensemble Methods, AML.M0010 Input Restoration, AML.M0015 Adversarial Input Detection, AML.M0017 AI Model Distribution Methods.",
  "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-model-hardening",
    "mitre-atlas-mitigation-control-access-to-ai-models-and-data-at-rest",
    "mitre-atlas-mitigation-use-ensemble-methods",
    "mitre-atlas-mitigation-input-restoration",
    "mitre-atlas-mitigation-adversarial-input-detection",
    "mitre-atlas-mitigation-ai-model-distribution-methods"
  ],
  "primary_citations_count": 11
}