About the course

Description:

The Advanced AI & LLM Security Professional Package is designed to provide in-depth knowledge of securing modern AI systems, including Large Language Models (LLMs), and integrating security into AI-driven environments. This course explores the risks, attack vectors, and defense mechanisms associated with AI applications, along with governance and compliance considerations. Learners will gain practical insights into prompt injection, data leakage, secure AI architecture, and the use of AI tools in cybersecurity. Through structured modules and real-world scenarios, this package prepares professionals to assess, secure, and manage AI systems in modern enterprise environments.

Key Highlights:

AI/LLM security fundamentals and attack techniques
Prompt engineering risks and exploitation scenarios
AI governance, risk, and compliance (AI-GRC)
Zero Trust principles for AI systems
Hands-on understanding of AI security tools and methodologies

What you will learn:

AI Tools for Cybersecurity Professionals
Learn how AI-powered tools can be used to enhance security operations, automate analysis, and improve threat detection capabilities.

Introduction to Generative AI Risks
Understand the security risks associated with generative AI, including data exposure, model misuse, and unintended outputs.

Prompt Engineering Fundamentals
Explore how prompts influence AI behavior and how attackers exploit prompt injection and manipulation techniques.

Zero Trust Architecture for AI Systems
Learn how to design and secure AI systems using Zero Trust principles to minimize risk and enforce strict access control.

AI Governance, Risk & Compliance (GRC)
Understand frameworks and best practices for managing risk, ensuring compliance, and governing AI systems in enterprise environments.

AI/LLM Security Fundamentals & Pentesting
Gain practical knowledge of testing AI applications by identifying vulnerabilities such as prompt injection, data leakage, and insecure integrations.