Quality score 60project-codeguard.org#no-code#agents#productivity

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.

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About this tool

Project CodeGuard is an open-source security framework designed to integrate security best practices directly into AI-assisted coding. It provides a comprehensive set of rules covering cryptography (including post-quantum cryptography), secure key management, certificate validation, MFA, OAuth/OIDC, secure session management, and supply chain security (dependency security, SBOM generation, vulnerability management). These rules are translated into formats for popular coding agents, enabling AI assistants to automatically follow security practices when generating or reviewing code. Additionally, it includes validators to test rule compliance, ensuring that generated code meets security standards.

Use cases
  • Developers want AI coding assistants to automatically follow security best practices when generating code.
  • Security teams want to ensure AI-generated code complies with organizational security policies.
  • Projects need to generate Software Bill of Materials (SBOM) for supply chain security.
  • Developers want to use post-quantum cryptography algorithms to protect sensitive data.
  • Teams want to integrate security rules into existing AI coding workflows.

Features & use cases

Cryptography: Safe algorithms (including post-quantum cryptography), secure key management, certificate validationAuthentication: MFA best practices, OAuth/OIDC, secure session managementSupply Chain: Dependency security, SBOM generation, vulnerability managementStart coding - AI assistants will automatically follow security best practicesAI assistants reference these rules when generating or reviewing code

At a glance

Monetization
  • Free
Maturity signals
  • Open source
Learning curve
  • Low

Resources

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Sources

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01https://project-codeguard.org/