MAESTRO: A Tailored Threat Modeling Framework for Agentic AI Systems

 The Cloud Security Alliance (CSA) introduced MAESTRO (Multi-Agent Environment, Security, Threat, Risk, and Outcome), a comprehensive threat modeling framework tailored for Agentic AI systems. Traditional frameworks like STRIDE, PASTA, and LINDDUN, while valuable, often fall short in addressing the complexities of autonomous AI agents. MAESTRO bridges this gap by incorporating AI-specific considerations such as adversarial machine learning, data poisoning, and the dynamic interactions between multiple AI agents. It emphasizes a layered security approach, ensuring that each component of an AI system is scrutinized for potential vulnerabilities. The framework's seven-layer reference architecture provides a structured methodology for identifying, assessing, and mitigating risks throughout the AI lifecycle, enabling the development of secure and trustworthy AI systems.

https://cloudsecurityalliance.org/blog/2025/02/06/agentic-ai-threat-modeling-framework-maestro

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