Overview
Understand how agentic AI architectures differ from traditional LLM and RAG systems from a security perspective, Identify agent specific attack surfaces introduced by memory, planning loops, and tool usage, Build complete threat models for autonomous agents across perception, reasoning, action, and update cycles, Detect and mitigate memory poisoning, memory drift, and long term state corruption, Analyze unsafe tool invocation, high risk capabilities, and real world impact paths, Design least privilege architectures and prevent privilege escalation in agent workflows, Recognize cascading hallucinations and multi step failure chains inside planning loops, Apply policy engines, guardrails, and oversight mechanisms to control autonomous behavior
Security engineers working on AI driven or autonomous systems, Software architects designing agent based or multi tool workflows, AI engineers building autonomous agents with memory and planning, Application security and cloud security professionals expanding into AI security, Technical leads and engineering managers responsible for AI risk and governance
Basic understanding of how large language models work at a conceptual level, Experience with software systems, APIs, or distributed architectures, Familiarity with security concepts such as permissions, attack surfaces, or threat modeling, Prior exposure to AI agents or automation workflows is helpful but not required, No advanced math or machine learning background required
Modern AI systems are no longer passive language models. They plan, remember, use tools, and act autonomously.
And that changes everything about security.
Threat Modeling for Agentic AI is a deep, practical course dedicated to one critical reality: traditional threat modeling fails when applied to autonomous agents.
This course teaches you how to identify, analyze, and control risks that emerge only in agentic systems - risks caused by memory poisoning, unsafe tool usage, reasoning drift, privilege escalation, and multi step autonomous execution.
If you are building, reviewing, or securing AI agents, this course gives you the frameworks you cannot find in classical AppSec, cloud security, or LLM tutorials.
Why this course exists
Most AI security content focuses on:
Prompt injection
RAG data leaks
Model hallucinations in isolation
This course focuses on what actually breaks real agentic systems:
Persistent memory corruption
Cascading reasoning failures
Tool chains that trigger real world actions
Agents escalating their own privileges over time
You will learn how agents fail as systems, not as single model calls.
What makes this course different
This is not a conceptual overview.
This is a system level security course built around real agent architectures.
You will learn:
How autonomy expands the attack surface
Why agent memory is a long term liability
How small hallucinations turn into multi step failures
Where classical threat models completely miss agent specific risks
Every concept is tied to artifacts, diagrams, templates, and exercises you can reuse in real projects.
What you will learn
By the end of the course, you will be able to:
Threat model agentic systems end to end, not just individual components
Identify memory poisoning vectors and design integrity controls
Analyze unsafe tool invocation and high risk capability exposure
Detect privilege drift and unsafe delegation inside agent workflows
Trace cascading failures across planning loops and execution graphs
Design strict policy and oversight layers for autonomous agents
You will not just understand the risks. You will know how to control them.
Course structure and learning approach
The course is structured as a progressive system analysis, moving from foundations to real failures.
You will work with:
Agent reference architectures
Threat surface maps
Memory and tool security checklists
Full agent threat model templates
Incident reconstruction frameworks
Each module builds directly on the previous one, forming a complete mental model of agent security.
Hands on and practical by design
Throughout the course you will:
Map threats across perception, reasoning, action, and update cycles
Break down real agent failures step by step
Identify root causes, escalation paths, and missed controls
Design mitigations that actually work in production systems
This course treats agentic AI as critical infrastructure, not demos.
Who this course is for
This course is ideal for:
Security engineers working with AI driven systems
Software architects designing autonomous agents
AI engineers building multi tool or multi agent workflows
AppSec and cloud security professionals expanding into AI
Technical leaders responsible for AI risk and governance
If you already understand basic LLMs and want to move into serious agent architecture and security, this course is for you.
Why you should start now
Agentic AI is being deployed faster than security models are evolving.
Teams are shipping autonomous systems without understanding how they fail.
This course gives you the missing frameworks before those failures happen in your own systems.
If you want to be ahead of the curve - not reacting to incidents, but preventing them - this is the course you have been waiting for.
Start now and learn how to secure autonomous AI before it secures itself in the wrong way.
Andrii Piatakha
Andrii Piatakha is a highly experienced educator, entrepreneur, project manager and software engineer with over 10 years of teaching experience and a proven track record of empowering students worldwide to achieve their goals in IT. As the Founder and CEO of IT-Bulls, Andrii has dedicated his career to promoting engineering excellence and shaping the next generation of IT professionals.
=== What Sets Andrii Apart? ===
Unparalleled Expertise
Andrii's career spans over a decade, during which he has mentored thousands of students and professionals. His hands-on experience as a software engineer and business leader allows him to deliver courses that are both practical and impactful. Andrii specializes in teaching Java, software architecture, cybersecurity, project management, web and application development, and more.
Transformative Education
Through his highly popular course “Java from Zero to First Job”, Andrii has helped countless individuals with no prior programming experience secure their first jobs in IT. This course is renowned for its structured approach, real-world projects, and ability to prepare students for success in the shortest possible time.
Innovator and Visionary
As the creator of Learn-IT Online University and its accompanying mobile app, Andrii has designed platforms that simplify the certification process in various IT domains, providing students with a seamless learning experience.
Personalized Learning Approach
Andrii's teaching focuses on the essential skills needed for career success. With a deep understanding of the challenges students face, he provides detailed homework assignments, real-world projects, and personalized guidance to ensure every learner achieves their full potential.
Global Recognition
Over 1,000+ professionals, including software engineers, managers, and architects, have endorsed Andrii's expertise on LinkedIn. His reputation for excellence is further demonstrated by the numerous success stories of students who have transitioned into leading roles in IT companies worldwide.
A Trusted Mentor and Leader
IT-Bulls, Andrii’s consultancy company, not only upholds the highest standards in engineering but also creates opportunities for students to gain practical, hands-on experience by working on real-world applications. Many of Andrii’s students have joined IT-Bulls as interns and grown into top-performing engineers within the company.
A Proven Track Record of Success
Every course Andrii creates is built on a foundation of practical knowledge, industry expertise, and student success stories. His unique ability to simplify complex topics and focus on what truly matters has earned him a loyal global following.
=== Why Choose Andrii? ===
Real-World Experience: Andrii combines his engineering expertise with his entrepreneurial spirit to deliver courses that reflect real-world challenges and solutions.
Student-Centric Approach: His teaching goes beyond theory, equipping students with the skills they need to excel in their careers.
A Community of Success: Join a thriving community of students and professionals who have transformed their lives with Andrii’s guidance.
=== Get Started Today ===
Take the first step toward a brighter future with Andrii’s courses on Udemy. Explore his LinkedIn profile for more insights into his career and achievements, and follow him on Instagram for updates, tips, and inspiration.
Transform your potential into reality with Andrii Piatakha – your partner in success!