Threat Modeling for Agentic AI Systems with Case Study

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Free Download Threat Modeling for Agentic AI Systems with Case Study
Published 10/2025
Created by Raghu The Security Expert
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All | Genre: eLearning | Language: English | Duration: 22 Lectures ( 2h 15m ) | Size: 1 GB

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 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 outemystify 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.
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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Threat Modeling for Agentic AI Systems with Case Study
Published 10/2025
Duration: 2h 16m | .MP4 1280x720 30 fps(r) | AAC, 44100 Hz, 2ch | 1.01 GB
Genre: eLearning | Language: English​

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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