AI Cybersecurity and Risk Management Foundations

As artificial intelligence integrates into every industry, securing these systems against novel threats has become a critical priority for cybersecurity professionals. This text-only course provides a clear pathway to understanding how to protect AI infrastructure, manage risk, and use automation to defend modern digital assets. You will transition from a foundational understanding of AI security principles to confidently identifying vulnerabilities and implementing robust defense strategies. What you'll learn: - Understand the core terminology and architecture of AI systems and their unique attack surfaces - Identify and mitigate specialized threats such as prompt injection, data poisoning, and model evasion - Configure secure data pipelines and apply privacy-preserving techniques to training datasets - Implement automated defense mechanisms and threat detection workflows using modern security tools - Apply risk management frameworks to evaluate the compliance and safety of AI deployments - Practice designing secure AI architectures using zero-trust principles and robust access controls Your learning journey begins with essential definitions and foundational cybersecurity concepts before moving into practical threat modeling, hands-on policy design, and automated defense strategies. Through structured written explanations and clear code examples, you will master the concepts needed to secure AI technologies in real-world environments. This course is designed for beginners, IT professionals, and aspiring security analysts with no prior AI security experience required. Start building the skills to defend the next generation of technology today.