Introduction to AI Security and Safety

As artificial intelligence becomes central to modern software, securing these systems against unique vulnerabilities is more critical than ever. This comprehensive text-only course guides you through the foundational concepts of AI security, helping you understand how AI models can be compromised and how to defend them. What you'll learn: - Understand core terminology of machine learning security and the unique threat landscape of AI systems. - Identify common vulnerabilities including prompt injection, data poisoning, and model evasion. - Explore the OWASP Top 10 for Large Language Models to secure modern generative AI applications. - Learn best practices for secure data handling, privacy preservation, and model deployment pipelines. - Apply defensive strategies and threat modeling frameworks to build resilient, safety-first AI architectures. You will start with essential definitions and security principles before moving into clear analyses of modern attack vectors and practical defense strategies. Designed for beginners, software developers, and security enthusiasts, this course requires no prior AI security experience. Start reading today to build a strong foundation in protecting the next generation of intelligent software.