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.
The core principles and architecture of Agentic AI and multi-agent systems
How to apply the MAESTRO framework for layered threat modeling
The OWASP Agentic AI (T1–T15) threat taxonomy and how it applies in practice
Attack techniques against Agentic AI, including tool misuse, goal manipulation, memory poisoning, and human-in-the-loop exploitation
How to conduct risk assessments and threat model these systems
if like me you are sick of hearing about AI all the time and want to actually know what the practical aspects are .. then this course is for you. Taimur does a great work explaining the key parts of Agentic AI and different case studies to show th...
Read Moreif like me you are sick of hearing about AI all the time and want to actually know what the practical aspects are .. then this course is for you. Taimur does a great work explaining the key parts of Agentic AI and different case studies to show the impact that Agentic AI risks can have on an organization. Cybersecurity is changing and AI is here to stay whether we like it or not !
Read LessTaimur has that rare mix of having IT skills and teaching skills. Very professional course and well explained with demos. I like how when one video ends the next video starts automatically. An essential course for beginners and pros. Bravo! Well d...
Read MoreTaimur has that rare mix of having IT skills and teaching skills. Very professional course and well explained with demos. I like how when one video ends the next video starts automatically. An essential course for beginners and pros. Bravo! Well done. Highly recommended
Read LessLove the course. Covers the current state of AI Pen testing and Cyber Securtiy.
Love the course. Covers the current state of AI Pen testing and Cyber Securtiy.
Read Less2 - What is Agentic AI
3 - Agentic AI Architectures
3.1 - Agentic AI Demo
4 - Model Context Protocol
4.1- Model Context Protocol Demo
5 - Agentic AI Threats
6 - T1 Memory Poisoning
7 - T2 - Tool Misuse
7.1 - T2 - MCP Risk Assessment
8 - T3 Privilige Compromise
9 - T4 - Resource Overload
10 - T5 - Cascading Hallucinations
11 - T6 Intent Breaking
12 - T7 Misalignment
13 - T8 Repuditation
14 - T9 - Identity Spoofing
15 - T10 Overwhelming Human in the loop
16 - T11 RCE
17 - T12 Agent Communication
18- T13 Rogue Agent
19 - T14 Human Attacks on MAS
20 - T15 Human Manipulation
21 - Threat Modeling Part 1
22 - Threat Modeling Part 2
23 - Case Study 1 - Part 1
24 - Case Study 1 - Part 2
25 - Case Study 1 - Part 3
25.1 - Case Study 1 - demo
26 - Case Study 2 - Part 1
27 - Case Study 2 - Part 2
27.1 - Case Study 2 - Demo
28 - Case Study 3
28.1 - Case Study 3 - Demo
29 - Secure Design Patterns 1
30 - Secure Design Patterns 2
31 - Conclusion
Agentic AI systems don’t just respond to prompts .. they plan, take actions, use tools, and make decisions over time. Traditional threat modeling approaches weren’t designed for systems that act autonomously. This course shows you how to model risk in systems that behave more like operators than software.
No. Some examples may reference APIs or system architecture, but everything is explained in a way that doesn’t require coding. If you can understand how systems interact at a high level, that’s enough.
Because the shift is already happening. Most professionals are still treating AI like a chatbot. But the real risk — and opportunity .. is in autonomous systems that can take action. The people who understand this early will be the ones: Leading AI security initiatives, advising organization and building the next generation of secure systems
