Vibe coding is redefining how software gets built. Powered by AI tools like ChatGPT, Cursor, Claude, and GitHub Copilot, developers—and even non-developers—can now generate functional code by simply describing what they want in natural language.
But this new speed and accessibility come with hidden dangers.
The “Vibe Coding Security & Risk Course” is a comprehensive course dedicated to helping you understand and mitigate the unique cybersecurity risks introduced by AI-assisted coding.
This course explores the security pitfalls of vibe coding, the limitations of AI-generated code, and the practical controls—like prompt engineering, Cursor Rules, and AI output review gates—that you need to build safely and responsibly.
What You Will Learn
- The fundamentals of vibe coding workflows and how they differ from traditional programming
- The security risks of vibe coding, including AI hallucinations, prompt injection, dependency poisoning, and insecure default patterns
- How traditional software security best practices still apply—but why they’re no longer enough
- How to use prompt rules and Cursor Rules to shape AI-generated code for better security outcomes
- How to implement AI-specific controls
Who Should Take This Course
This course is ideal for anyone building software with AI assistance—or responsible for securing environments where vibe coding is happening:
- Cybersecurity professionals
- Software developers using AI tools
- Security engineers and AppSec teams
- DevSecOps engineers
- AI/ML engineers
- IT managers overseeing AI coding adoption
- Technical product owners building AI-driven products
- Cybersecurity professionals
- Security Architects
- AI and ML Professionals
- GenAI Security professionals
- Programmers and Developers
- CISOs, CTOs, CROs
