Show HN: AI Code Guard – Security scanner for AI-generated code (github.com)

AI Code Guard has been launched as a security scanner specifically designed to identify vulnerabilities in AI-generated code prior to deployment. With the rising adoption of AI coding assistants like GitHub Copilot and ChatGPT, the tool aims to mitigate the security risks that often accompany their suggestions, which can include prompt injection risks, hardcoded secrets, insecure code patterns, data exfiltration, and dependency confusion. By scanning codebases for these issues, AI Code Guard helps developers safeguard their applications against potential exploitations that can arise from unexamined AI-generated outputs. This tool is particularly significant for the AI/ML community as it highlights the imperative for security in the development lifecycle of AI-assisted code. AI-generated code is frequently trained on outdated or insecure programming practices, leading to vulnerabilities that developers may overlook. By utilizing AI Code Guard, teams can adopt a proactive stance on security, ensuring that patterns identified in existing research—such as SQL injection flaws and hardcoded API keys—are detected and rectified early in the development process. The scanner integrates seamlessly into existing workflows, making it easier for developers to maintain secure coding practices without sacrificing efficiency.