Secure AI vibecoding
This course provides an overview of best practices for securely handling AI-generated code, with a focus on "vibe coding" — informal, AI-assisted development often performed by non-technical personnel. Through practical examples and an optional lab, learners will gain skills to integrate secure vibe coding into engineering workflows.

Course Content
This course provides a comprehensive overview of best practices for securely handling AI-generated code, with a focus on "vibe coding" — informal, AI-assisted development often performed by non-technical personnel. Participants will explore techniques for assessing, sanitizing, and enhancing inherited AI outputs to mitigate vulnerabilities such as code injection, secret exposure, and error-prone implementations. The course covers environment setup, prompt engineering, code review, secret management, and advanced automation tools, drawing on up-to-date security guidelines from sources like OWASP and NIST. Through practical examples and an optional lab, learners will gain skills to integrate secure vibe coding into engineering workflows, ensuring robust, production-ready applications.
Target Audience
- Engineering teams inheriting AI vibe-coded applications from non-technical personnel (e.g., business analysts or executives)
- Skilled developers seeking advanced techniques for securing AI-generated code
- IT and cybersecurity professionals interested in AI security best practices
Recommended Prerequisites
Python for Cybersecurity Professionals
Course Goals
By the end of this course, learners should be able to:
- Understand the risks of vibe coding and apply prompt engineering to generate safer AI outputs
- Set up secure environments and implement rules files for consistent security enforcement
- Review AI-generated code for errors, vulnerabilities, and compliance issues
- Perform secret sanitization and integrate automated scanning tools
- Develop advanced strategies for securing inherited applications, including multi-stage reviews and runtime protections
- Apply hands-on techniques to real-world scenarios, enhancing security in AI-driven development
Course Outline
- Introduction to Vibe Coding Risks and Best Practices
- Secure Environment Setup and Prompt Engineering
- Code Review, Error Detection, and Sanitization
- Advanced Techniques for Developers and Automation Tools
- Optional Lab and Governance Strategies
Connect with the Instructor
Imran Muthuvappa, imuthuvappa@gmail.com














