protectaccount
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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
