Ethical Hacking with GenAI: Web App and Database Security

As generative AI transforms the cyber landscape, security professionals must understand both how to leverage these tools for defense and how attackers exploit them. This text-based course guides you through the intersection of prompt engineering, web application security, and database defense. You will transition from a security novice to a practitioner capable of identifying vulnerabilities using AI assistance, while simultaneously securing systems against AI-driven exploits. You will learn the fundamentals of modern web vulnerabilities, database security, and the emerging field of Large Language Model security risks. What you'll learn: - Understand the fundamentals of ethical hacking and the modern threat landscape in the age of AI. - Apply prompt engineering techniques to identify common web application vulnerabilities like SQL injection. - Analyze database structures safely to locate security weaknesses and misconfigurations. - Mitigate AI-specific risks, including prompt injection and data leakage, using modern security frameworks. - Practice writing secure code and implementing patches to defend against GenAI-assisted attacks. - Explore zero-trust concepts and secure database access controls. The course starts with essential terminology and foundational security concepts before moving into practical written scenarios. You will progress from basic prompt construction for vulnerability discovery to implementing robust defensive strategies for databases and web applications. This course is designed for beginners interested in cybersecurity, ethical hacking, and AI security, with no prior security or coding experience required. Start reading today to build the foundational skills needed to secure modern web applications and databases in the era of generative AI.