Vibe coding is a new approach to software development that leverages AI tools to handle most of the coding work, allowing developers to rapidly iterate and deploy applications with minimal manual coding effort. However, this practice can lead to security vulnerabilities, inefficiencies, and errors if not carefully reviewed by developers. AI code generators have specific limitations that make them prone to introducing security issues, including pattern reproduction, context blindness, training on legacy code, incomplete implementation, and hardcoded credentials and exposed secrets. To effectively review AI-generated code, developers need a framework for identifying common security risks, such as the OWASP Top 10, which represents the most critical web application security risks. By implementing best practices for secure vibe coding, including verifying and validating input, prompting with security in mind, integrating security tools, following the principle of least privilege, implementing proper input validation, and using security-focused prompting techniques, developers can minimize the risk associated with AI-generated code and ensure that their applications are secure.