{
  "node_id": "mitre-atlas-ai-agent-tool-poisoning",
  "title": "MITRE ATLAS AI Agent Tool Poisoning (AML.T0110) - Persistence adversarial technique against AI systems",
  "domain": "AI Governance & Law",
  "version": "1.0.1",
  "last_updated": "2026-07-22",
  "bluf": "This node addresses MITRE ATLAS technique AML.T0110 (AI Agent Tool Poisoning), an adversarial technique in the ATLAS Persistence tactic. Adversaries may achieve persistence by poisoning tools used by AI agents including built-in tools or tools available to the agent via Model Context Protocol (MCP) connections. This involves compromising benign tools already integrated into the agent's environment. By altering tool behavior such as modifying parameters or descriptions, injecting hidden logic, or redirecting outputs, attackers can maintain long-term influence over the agent's actions, decisions, or external interactions. Poisoned tools may silently exfiltrate data, execute unauthorized commands, or manipulate downstream processes without raising suspicion. Defending against this technique is required under EU AI Act (accuracy, robustness and cybersecurity), 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",
    "owasp-agentic-top10"
  ],
  "primary_citations_count": 7
}