Welcome to the Generative AI Security Masterclass — your practical guide to navigating the risks, threats, and defenses in the age of AI.
Generative AI tools like ChatGPT, Bard, Claude, and Midjourney are changing the way we work, code, communicate, and innovate. But with this incredible power comes a new generation of threats — ones that traditional security frameworks weren’t designed to handle.
This course is designed to help you understand and manage the unique security risks posed by generative AI and Large Language Models (LLMs) — whether you’re a cybersecurity expert, tech leader, risk manager, or just someone working with AI in your daily operations.
What You’ll Learn in This Course
- What generative AI and LLMs are — and how they actually work
- The full range of AI security risks: data leakage, model hallucinations, prompt injection, unauthorized access, deepfake abuse, and more
- How to identify and prioritize AI risks using threat modeling frameworks like STRIDE and DREAD
- The difference between public vs. private LLMs, and how to choose the right deployment for your security and compliance needs
- How to create a secure AI usage policy for your team or organization
- Step-by-step strategies to prevent AI-powered phishing, malware generation, and supply chain attacks
- Best practices for sandboxing, API protection, and real-time AI monitoring
Why This Course Stands Out
This is not just another theoretical AI class.
You’ll explore real-world security incidents, watch hands-on demos of prompt injection attacks, and build your own custom AI security policy you can actually use.
By the end of this course, you’ll be ready to:
- Assess the risks of any AI system before it’s deployed
- Communicate AI threats and solutions with confidence to your team or executives
- Implement technical and governance controls that actually work
- Lead the secure adoption of AI tools in your business or organization
HOMEPAGE – https://www.udemy.com/course/generative-ai-security-masterclass-threats-defense-2025
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