Project CodeGuard
Project CodeGuard is an AI model-agnostic security framework and ruleset that embeds secure-by-default practices into AI coding workflows (generation and review). It ships core security rules, translators for popular coding agents, and validators to test rule compliance.
About this tool
Project CodeGuard is an AI model-agnostic security framework and ruleset designed to embed secure-by-default practices into AI coding workflows, covering both code generation and code review. The framework includes core security rules spanning authentication (MFA best practices, OAuth/OIDC, secure session management), cryptography (safe algorithms including post-quantum cryptography, secure key management, certificate validation), and supply chain (dependency security, SBOM generation, vulnerability management). Project CodeGuard provides translators for popular coding agents, enabling AI assistants to reference these rules when generating or reviewing code. It also includes validators to test rule compliance. Usage: start coding and AI assistants will automatically follow security best practices. The tool targets AI coding agent users, developers, and security engineers, and is accessed via the Web platform. Project CodeGuard is open-source and free, with a low learning curve.