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The Threat Modeling For Agentic AI Masterclass
Free Download The Threat Modeling For Agentic AI Masterclass
Published 9/2025
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.54 GB | Duration: 3h 33m
Master How To Threat Model Agentic AI systems Using The MAESTRO Framework and OWASP Best Practises
What you'll learn
Understand Agentic AI Architecture and Components
Analyze and mitigate threats unique to Agentic AI based on OWASP
Apply structured threat modeling techniques such as MAESTRO
Design secure agentic systems
Requirements
Basic knowledge of AI / GenAI
Good knowledge of Cybersecurity
Desire to Learn
Description
Agentic AI represents the next evolution of artificial intelligence—systems that can autonomously plan, make decisions, and execute actions with minimal human input. These multi-agent ecosystems are transforming industries, but they also introduce new security risks that extend far beyond traditional cybersecurity concerns.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.This course goes beyond theory—by walking through case studies, real-world scenarios, and layered defenses, you will learn how to systematically map threats to risks (T1–T15), evaluate their likelihood and impact, and design effective mitigations.What You Will LearnThe core principles and architecture of Agentic AI and multi-agent systemsHow to apply the MAESTRO framework for layered threat modelingThe OWASP Agentic AI (T1–T15) threat taxonomy and how it applies in practiceAttack techniques against Agentic AI, including tool misuse, goal manipulation, memory poisoning, and human-in-the-loop exploitationHow to conduct risk assessments and threat model these systemsStrategies for building mitigation plans that cover both AI-specific and cross-layer security risksCourse OutlineIntroduction to Agentic AI SystemsWhat are Agentic AI and multi-agent systems?How do they differ from traditional and generative AI?Why security in Agentic AI is non-negotiableThreats in Agentic AI SystemsOverview of the Agentic AI risk landscapeThe ASI Threat Model (T1–T15) explainedThe MAESTRO FrameworkFoundation Model risksData Operations threats (RAG poisoning, communication attacks)Agent Framework misuse (tool abuse, intent breaking)Deployment, Observability, Ecosystem securityApplying Agentic AI Threat Modeling in PracticeStep-by-step threat modeling with MAESTROThree Case Studies with eternal resources (Notion Templates)Mitigation and GovernanceDesigning secure architectures for Agentic AILayer-specific and cross-layer mitigationsWho Should Take This CourseThis course is ideal for individuals seeking to secure the next generation of AI systems, including:AI engineers and architectsCybersecurity professionalsData scientists and AI governance specialistsIT managers and risk professionalsBusiness leaders evaluating Agentic AI adoptionPre-requisitesA basic understanding of AI and cybersecurity is recommendedInstructorTaimur Ijlal is a multi-award-winning cybersecurity leader with over 20 years of global experience in cyber risk management, AI security, and IT governance. Recognized as CISO of the Year and one of the Top 30 CISOs worldwide, Taimur's work has been featured in ISACA Journal, CIO Magazine Middle East, and multiple AI security publications.He has trained thousands of students worldwide through his Udemy courses, and his books on AI Security and Cloud Computing have ranked as #1 New Releases on Amazon.
Cybersecurity Professionals,AI Security Professionals,Agentic AI Professionals,GenAI Professionals,CISOs, CTOs, CROs,Threat Modeling Experts,IT Risk Management Professionals,DevSecOps Engineers,Anyone wanting to learn this topic.
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