The Threat Modeling For Agentic AI Masterclass 2026

About this course

Agentic AI represents the next evolution of artificial intelligence—systems that can autonomously plan, make decisions, and execute actions with minimal human input. These multi-agent ecosystems are transforming industries, but they also introduce new security risks that extend far beyond traditional cybersecurity concerns.The "Threat Modeling Agentic AI Systems Masterclass" is a practical, hands-on course designed to teach you how to identify, analyze, and mitigate threats in autonomous AI systems using structured frameworks like MAESTRO and the OWASP Agentic AI Threats and Mitigations Guide.This course goes beyond theory—by walking through case studies, real-world scenarios, and layered defenses, you will learn how to systematically map threats to risks (T1–T15), evaluate their likelihood and impact, and design effective mitigations.What You Will LearnThe core principles and architecture of Agentic AI and multi-agent systemsHow to apply the MAESTRO framework for layered threat modelingThe OWASP Agentic AI (T1–T15) threat taxonomy and how it applies in practiceAttack techniques against Agentic AI, including tool misuse, goal manipulation, memory poisoning, and human-in-the-loop exploitationHow to conduct risk assessments and threat model these systemsStrategies for building mitigation plans that cover both AI-specific and cross-layer security risksCourse OutlineIntroduction to Agentic AI SystemsWhat are Agentic AI and multi-agent systems?How do they differ from traditional and generative AI?Why security in Agentic AI is non-negotiable

Course objectives

• Teach systematic mapping of threats to risks
• Evaluate threat likelihood and impact
• Develop effective mitigation plans for AI-specific risks