CompTIA SecAI+ Fundamentals: AI Cybersecurity Basics CY0-001

About this course

This course provides a clear, foundational introduction to AI cybersecurity aligned with the CompTIA SecAI+ (CY0-001) certification. It is a no-configuration, no-lab learning experience designed to explain concepts without requiring hands-on setup, making it ideal for understanding how artificial intelligence changes the modern security landscape. The course focuses on core principles, terminology, threat models, and defensive strategies required to secure AI-enabled systems and to protect organizations that rely on AI-driven technologies.Artificial intelligence introduces new attack surfaces and risk factors that traditional cybersecurity frameworks were not designed to address. This course explains AI-specific threats such as data poisoning, model inversion, prompt injection, adversarial inputs, model theft, and supply-chain risks in AI systems. You will learn how attackers target AI models across their lifecycle—from data collection and training to deployment and monitoring—and how defenders can mitigate these risks using governance, secure design, monitoring, and risk management strategies.The importance of this course lies in the growing reliance on AI across industries such as finance, healthcare, government, cloud services, and critical infrastructure. As organizations deploy AI at scale, security teams must understand how AI systems can fail, be manipulated, or leak sensitive data. This course helps bridge the knowledge gap between traditional cybersecurity and emerging AI security requirements, supporting better decision-making, compliance, and organizational resilience.Key advantages of this course include its beginner-friendly structure, exam-focused coverage, and conceptual clarity. With no labs or configurations required, learners can focus entirely on understanding the material tested in the SecAI+ exam. The content is structured to reinforce security fundamentals while introducing