{
 "license": "CC-BY-4.0",
 "attribution": "Fide AI, Agentic Cyber Explorer",
 "url": "https://agentic-cyber-explorer.pages.dev/events/csa-maestro-agentic-threat-modeling-2025/",
 "asOf": "2026-09-26",
 "id": "csa-maestro-agentic-threat-modeling-2025",
 "date": "2025-02-06",
 "datePrecision": "day",
 "title": "Cloud Security Alliance publishes MAESTRO seven-layer threat modeling framework for agentic AI",
 "lane": "policy",
 "kind": "framework",
 "summary": "The Cloud Security Alliance published MAESTRO (Multi-Agent Environment, Security, Threat, Risk, and Outcome), a threat modeling framework for agentic AI authored by Ken Huang. It organizes analysis into seven layers from foundation models to the agent ecosystem and highlights agent-specific threats such as goal manipulation, agent impersonation and collusion between agents.",
 "whyItMatters": "It is a practitioner method for threat modeling multi-agent systems, aimed at gaps its authors see in STRIDE-style frameworks.",
 "actors": [
  "cloud-security-alliance"
 ],
 "topics": [
  "standards-and-guidance",
  "multi-agent-security"
 ],
 "atlas": [
  "other-agents",
  "tools",
  "model"
 ],
 "artifacts": [],
 "sources": [
  {
   "url": "https://cloudsecurityalliance.org/blog/2025/02/06/agentic-ai-threat-modeling-framework-maestro",
   "publisher": "Cloud Security Alliance",
   "title": "Agentic AI Threat Modeling Framework: MAESTRO",
   "date": "2025-02-06",
   "type": "primary",
   "accessed": "2026-09-25"
  }
 ],
 "keyFacts": [
  {
   "fact": "Seven layers: foundation models, data operations, agent frameworks, deployment and infrastructure, evaluation and observability, security and compliance, agent ecosystem.",
   "locator": "Framework layers section"
  }
 ],
 "significance": 2,
 "fideQuestions": [
  "FID-087"
 ],
 "methods": [],
 "review": "assistant-drafted",
 "addedOn": "2026-09-25"
}