What you'll learn

AI coding agents can drastically accelerate development, but they also introduce unique risks—from hallucinated vulnerabilities and insecure dependencies to data leakage and context manipulation. In this course, Secure AI-Assisted Development Practices, you’ll learn how to safely adopt and govern AI tools across your engineering organization. First, you’ll explore the AI-assisted threat landscape, understanding both the structural risks of data exposure and the human cognitive biases that allow bad automated code to slip into production. Next, you’ll discover how to build tactical security into daily workflows by safely sandboxing agents, sanitizing context, and utilizing AI for localized threat modeling. Finally, you’ll learn how to establish enterprise-grade governance by evaluating tool privacy policies, defining usage guidelines, and embedding security checkpoints directly into AI-augmented CI/CD pipelines. When you’re finished with this course, you’ll have the practical skills and architectural frameworks needed to leverage AI coding agents securely, ensuring your team codes faster without compromising your organization's security posture.