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
AI is no longer just about models making predictions — it’s about autonomous agents making decisions, collaborating with other agents, and driving complex workflows. These agentic AI systems are powerful, but with that power comes new security and trust challenges that traditional methods simply don’t cover.
This course is built to help you bridge that gap. You’ll not only learn the core concepts of agentic AI, but also gain practical skills in threat modeling frameworks and techniques that 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 the 7 layers of agentic AI architecture.
Master the MAESTRO Framework → A structured, actionable approach to analyzing and categorizing risks unique to agentic AI.
Hands-On Threat Modeling → Work through the four-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 professional threat modeling report you can showcase.
By the end of the course, you won’t just know the theory — you’ll have the confidence to spot vulnerabilities, assess risks, and recommend safeguards for agentic AI systems in real-world settings.
Whether you’re a security professional, AI engineer, or researcher, this course will give you the tools to stay ahead in the rapidly shifting landscape of AI security.
