AI Cybersecurity and Risk Management Foundations

As artificial intelligence integrates into every layer of modern business, securing these systems against novel threats is the new frontier of cybersecurity. This text-based course provides a comprehensive introduction to protecting AI pipelines, identifying vulnerabilities, and leveraging automation to defend your organization's digital assets. You will transition from understanding traditional security concepts to confidently managing the unique risks introduced by machine learning models and large language models. What you'll learn: - Understand foundational AI security concepts, threat modeling, and risk management frameworks - Identify and mitigate AI-specific vulnerabilities, including prompt injection, data poisoning, and model inversion - Configure secure data pipelines and protect sensitive training data throughout the AI lifecycle - Apply automated defense strategies and security orchestration to respond to incidents in real time - Implement modern governance policies and compliance standards for responsible AI deployment Starting with essential terminology and core security principles, you will progress through structured text-based lessons that cover data protection, model security, and automated incident response. This course is designed for cybersecurity professionals, IT administrators, and technology enthusiasts who want to build a solid foundation in AI security. No prior experience with artificial intelligence or advanced programming is required to succeed. Start reading today to secure the future of automated technology.