A Practical Guide to Threat Modeling Single and Multi-Agent Agentic AI Systems using MAESTRO Threat Modeling Framework

What you'll learn
- Understand the Foundations of Agentic AI
- Apply the MAESTRO Framework for Threat Modeling
- Execute the Four-Step Threat Modeling Process for Agentic AI
- Develop and Present a Threat Modeling Report for an Agentic AI Case Study
- Explore Emerging Risks and Attack Surfaces in Agentic AI
- Integrate Threat Modeling into AI System Development Lifecycle
- Compare Traditional vs. Agentic AI Threat Modeling Approaches
- Gain Practical Skills with Hands-On Exercises and Tools

Requirements
- Familiarity with core cybersecurity principles (confidentiality, integrity, availability) and common threat modeling concepts (e.g., STRIDE, attack surfaces) will help learners connect new ideas more quickly.
- Cybersecurity & Threat Modeling Basics
- System Architecture & Design Knowledge

Description
AI is no longer just about models making predictions — it's aboutautonomous agentsmaking decisions, collaborating with other agents, and driving complex workflows. Theseagentic AI systemsare powerful, but with that power comes newsecurity and trust challengesthat traditional methods simply don't cover.

This course is built to help you bridge that gap. You'll not only learn thecore concepts of agentic AI, but also gain practical skills inthreat modeling frameworks and techniquesthat are purpose-built for this new wave of AI.

Here's what makes this course stand out:

Demystify Agentic AI→ Learn the difference between single-agent and multi-agent systems and understand the7 layers of agentic AIarchitecture.

Master the MAESTRO Framework→ A structured, actionable approach to analyzing and categorizing risks unique to agentic AI.

Hands-On Threat Modeling→ Work through thefour-step process(identify, analyze, prioritize, mitigate) with guided examples.

Capstone Case Study→ Apply everything you've learned to a real-world agentic AI system and create a professionalthreat modeling reportyou can showcase.

By the end of the course, you won't just know the theory — you'll have the confidence tospot vulnerabilities, assess risks, and recommend safeguardsfor agentic AI systems in real-world settings.

Whether you're asecurity professional, AI engineer, or researcher, this course will give you the tools to stay ahead in the rapidly shifting landscape of AI security.

Who this course is for:
- Cybersecurity Professionals and Threat Analysts
- AI/ML Engineers and Developers
- Cloud and Enterprise Architects
- Governance, Risk, and Compliance (GRC) Professionals
- Researchers, Students, and Innovators in AI Security
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