Agentic Cyber Explorerby Fide AI · PreviewPreview
Chronicle/Policy & standards

Cloud Security Alliance publishes MAESTRO seven-layer threat modeling framework for agentic AI

PolicyFrameworkSignificance assistant-drafted

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.

Why it matters

It is a practitioner method for threat modeling multi-agent systems, aimed at gaps its authors see in STRIDE-style frameworks.

Key facts

As stated in the sources, with where to find them.

  • Seven layers: foundation models, data operations, agent frameworks, deployment and infrastructure, evaluation and observability, security and compliance, agent ecosystem.Framework layers section

Findings that cite this record

No tracked finding cites this record yet.

Sources

Related records