{
  "node_id": "mitre-atlas-erode-ai-model-integrity",
  "title": "MITRE ATLAS Erode AI Model Integrity (AML.T0031) - Adversarial Erosion of AI Model Integrity Over Time",
  "domain": "AI Governance & Law",
  "version": "1.0.1",
  "last_updated": "2026-07-22",
  "bluf": "This node addresses MITRE ATLAS technique AML.T0031 (Erode AI Model Integrity). Adversaries may degrade the target model's performance with adversarial data inputs to erode confidence in the system over time. This can lead to the victim organization wasting time and money both attempting to fix the system and performing the tasks it was meant to automate by hand. 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-model-hardening",
    "mitre-atlas-mitigation-use-ensemble-methods",
    "mitre-atlas-mitigation-input-restoration",
    "mitre-atlas-mitigation-adversarial-input-detection",
    "nist-ai-rmf-1-0-manage-function"
  ],
  "primary_citations_count": 10
}