Multi-Agentic System Threat Modeling Guide v1.0

• Publisher: OWASP
• Status: final
• Version: 1.0
• Release Date: 2025-04-23
• Date Added: 2025-08-28
• Source URL: https://genai.owasp.org/resource/multi-agentic-system-threat-modeling-guide-v1-0/

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Summary

The OWASP Multi-Agentic System Threat Modeling Guide v1.0 provides structured guidance for analyzing the security risks of Agentic AI and multi-agent systems (MAS). It integrates OWASP’s Agentic AI Threats & Mitigations taxonomy with the MAESTRO layered threat modeling framework, offering practitioners a comprehensive methodology to identify, classify, and mitigate adversarial risks. The guide also includes case studies applying MAESTRO to real-world agentic systems, illustrating how autonomy, memory, and cross-agent interactions create novel vulnerabilities.

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Key Takeaways

• Defines a structured threat taxonomy for Agentic AI, covering poisoning, misuse, evasion, and emergent risks.
• Introduces the MAESTRO layered framework to model threats across seven architectural domains.
• Highlights cross-layer risks including memory poisoning, cascading hallucinations, and agent collusion.
• Provides case studies.

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Additional Sources

• OWASP Agentic AI - Threats and Mitigations
• Agentic AI Threat Modeling Framework - MAESTRO — An in-depth look at MAESTRO, from CSA Blog

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Tags

agentic-ai, mas, threat-modeling, maestro, framework, case-studies

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License

CC-BY-SA-4.0