Agentic AI – Risk and Cybersecurity Masterclass 2025

Contents

What You’ll Learn Requirements Description Who this course is for:

What
You’ll Learn

How Agentic AI Is A Game Changer For Risk And Security
How Agentic AI Works
What Are The Unique Risks That Agentic AI Introduces
How To Mitigate Agentic AI Risks
How To Threat Model Agentic AI Systems

Requirements

Basic Knowledge of IT
Basic Knowledge of Risk and Security
No expertise in Agentic AI Is Needed
Passion To Learn !

Description

Agentic AI represents the next evolution of artificial intelligence—systems that can autonomously make decisions, plan actions, and interact with the world with minimal human intervention. As AI becomes increasingly autonomous, new risks and security challenges emerge that go beyond traditional cybersecurity concerns.

The “Agentic AI Risk and Cybersecurity Masterclass” is a comprehensive course designed to provide a deep understanding of agentic AI technologies, their unique risk landscape, and the best practices for securing these intelligent systems.

This course explores the principles, components, and security considerations of Agentic AI, equipping you with the knowledge to assess, mitigate, and defend against emerging AI threats.

What You Will Learn

Fundamental principles and architecture of Agentic AI systems
Understanding the risk landscape in autonomous AI and its implications
Security threats unique to Agentic AI, including AI autonomy risks, adversarial manipulation, and decision-based attacks
How prompt injections and model exploitation attacks evolve in an Agentic AI context
Strategies for designing secure Agentic AI systems with ethical safeguards and risk mitigation controls
Compliance and governance frameworks for Agentic AI cybersecurity

Course Outline

Introduction to Agentic AI

What is Agentic AI?
How does it differ from Generative AI
Why security in Agentic AI is critical

Risks in Agentic AI

Overview of the Agentic AI risk landscape
Threat modeling Agentic AI systems
Case Study of Threat Modeling Agentic AI systems

Security in Agentic AI

Creating a Security Framework For Agentic AI
Threat vectors and attack techniques against autonomous AI
Hijacking attacks, data poisoning, and malicious automation
Best practices for hardening Agentic AI models and deploying AI security frameworks

Who Should Take This Course

This course is ideal for individuals looking to understand and mitigate the cybersecurity risks associated with autonomous AI systems, including:

AI engineers & researchers
Cybersecurity professionals
Data Scientists & AI Ethics specialists
IT Managers & risk professionals
Business leaders exploring Agentic AI adoption

Pre-requisites

Basic understanding of AI and cybersecurity concepts is recommended, but no prior knowledge of Agentic AI is required.

Instructor

Taimur Ijlal is a multi-award-winning cybersecurity leader with over 20+ years of global experience in cyber risk management, AI security, and IT governance. He has been recognized with industry accolades such as CISO of the Year, CISO Top 30, and Most Outstanding Security Team.

Taimur’s cybersecurity and AI courses have thousands of students worldwide, and his work has been featured in ISACA Journal, CIO Magazine Middle East, and multiple AI security publications. His books on AI Security and Cloud Computing have ranked as #1 new releases on Amazon.

Join this course to stay ahead of the rapidly evolving landscape of Agentic AI Risk and Cybersecurity!