Introduction to AI and Generative AI in Cybersecurity

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Introduction to AI and Generative AI in Cybersecurity is a versatile, easy-to-use resource designed to help students understand the rapidly evolving role of AI in today’s cybersecurity landscape. Its concise length and flexible format make it easy to incorporate into existing course materials or assign as a standalone unit. The text connects core AI concepts with real-world applications in cybersecurity and network defense, examining how generative tools are used in both offensive and defensive operations. It also explores emerging threats such as deepfakes and adversarial models. Through case studies and secure deployment, students gain the knowledge needed to critically evaluate, implement, and safeguard AI systems.

Features and Benefits

- Covers essential AI concepts, tools, and generative models in the context of how they apply to today’s cybersecurity landscape.
- Explores real-world AI misuse, emerging risks, and threats, including deepfakes, adversarial models, and AI-generated phishing.
- Includes case studies, examples, and secure deployment best practices to help readers responsibly evaluate and implement AI.
- Equips students with ethical, regulatory, and governance knowledge essential for navigating AI use in professional security roles.
- Flexibly formatted as a standalone unit or topical supplement to existing cybersecurity, IT, or digital forensics course materials.