AI Prompt Security and Vulnerability Defense

As generative AI integrates into modern software applications, securing prompt interfaces against manipulation and data leaks has become essential. This written course introduces foundational security concepts tailored specifically to artificial intelligence systems and prompt interactions. You will gain a thorough understanding of common AI vulnerabilities, analyze prompt injection techniques, and apply practical safeguards to keep your data secure. What you'll learn: - Understand core AI security terminology, threat modeling, and cognitive hacking concepts - Identify direct and indirect prompt injection vulnerabilities in language model workflows - Apply system prompt hardening, input sanitization, and safety guardrails - Protect sensitive data from prompt leaking and context extraction attempts - Mitigate security risks in retrieval-augmented generation and integrated AI services - Practice analyzing real-world security risks through step-by-step written exercises. The material begins with foundational definitions and basic risk concepts before guiding you through structured attack vectors and practical defensive strategies. This course is designed for beginner developers, system administrators, and security enthusiasts with no prior AI security experience required. Start reading today to protect your AI applications against emerging security threats.