Generative AI in Cybersecurity: Modern Defense Strategies

As cyber threats grow more sophisticated, security professionals must adapt to the rapidly evolving landscape of artificial intelligence. This text-only course teaches you how to use generative AI as a powerful tool for defense while preparing you for AI-driven security challenges. You will transition from understanding basic AI concepts to applying generative models to everyday cybersecurity tasks. By exploring core security frameworks and practical AI applications, you will gain the skills needed to enhance threat detection, automate response workflows, and secure digital assets. What you will learn: Understand the fundamentals of generative AI and its role in modern security operations; Apply prompt engineering techniques to analyze threat intelligence and security logs; Identify and mitigate AI-driven threats, including sophisticated phishing, deepfakes, and malware; Configure AI-assisted workflows for Security Information and Event Management (SIEM) and Security Operations Center (SOC) tasks; Analyze User and Entity Behavior Analytics (UEBA) data using intelligent automated patterns; Implement zero-trust principles and current best practices to secure generative AI deployments. The course starts with key terminology, foundational AI concepts, and basic security definitions before moving into practical defensive scenarios. You will progress through structured text lessons and written exercises designed to build real-world analytical skills. This course is designed for beginner security analysts, IT professionals, and tech enthusiasts looking to enter the intersection of AI and cybersecurity, requiring no prior AI experience. Start reading today to build a forward-looking foundation in AI-driven cyber defense.