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
2 - 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
