Generative AI Security Fundamentals

As generative AI and Large Language Models (LLMs) reshape modern business, securing these powerful technologies has become a critical priority. This text-only course provides a comprehensive introduction to the security risks unique to generative AI, preparing you to protect systems against emerging threats and design secure integrations. You will learn to: - Understand foundational concepts of generative AI architectures and their specific security implications. - Identify critical vulnerabilities including prompt injection, data poisoning, and sensitive data leakage. - Apply the OWASP Top 10 framework for Large Language Models to assess and rank system risks. - Configure secure retrieval-augmented generation (RAG) patterns to prevent unauthorized data access. - Implement zero-trust principles and robust access controls for AI-driven software. - Practice threat modeling techniques to design resilient AI integrations. You will start by exploring core terminology and foundational concepts before moving into practical threat scenarios, mitigation strategies, and industry-standard security practices. This course is designed for cybersecurity beginners, IT professionals, and business leaders looking to understand AI risk, with no prior AI development experience required. Start reading today to build a secure foundation for the future of technology.