Generative AI Cybersecurity Foundations

Generative AI is rapidly reshaping the cybersecurity landscape, introducing both powerful capabilities for defenders and sophisticated new vectors for attackers. To protect modern digital assets, security professionals and technology enthusiasts must understand how these AI systems work and how they can be compromised or secured. This text-based course guides you through the foundational concepts of generative AI within cybersecurity, equipping you to identify novel threats and implement robust defensive strategies. You will move from basic terminology to analyzing real-world risk scenarios, preparing you to secure AI implementations in any organization. What you'll learn: 1. Understand foundational generative AI concepts and their implications for digital security. 2. Identify emerging threat vectors including prompt injection, data poisoning, and model extraction. 3. Apply security best practices to protect large language model pipelines and sensitive data. 4. Analyze how attackers use AI to craft highly convincing phishing campaigns and automated exploits. 5. Implement defense-in-depth and zero-trust principles specifically tailored for AI-integrated systems. 6. Practice evaluating AI security risks through structured, written scenario-based exercises. The course begins with core definitions and architectural basics before exploring the dual-use nature of AI in offensive and defensive security. You will then progress to practical defense methodologies, risk frameworks, and secure deployment strategies. Designed for beginners, IT professionals, and aspiring cybersecurity analysts, this course requires no prior background in artificial intelligence or advanced programming. Start reading today to master the essentials of securing the next generation of technology.