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## What is Project CodeGuard?
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[Project CodeGuard](https://project-codeguard.org/) is an AI model-agnostic security framework and ruleset (internally nicknamed "Project CodeGuard" when developed at Cisco) 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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[Project CodeGuard](https://project-codeguard.org/) is an AI model-agnostic security coding agent skills framework and ruleset that embeds secure-by-default practices into AI coding workflows (generation and review). It ships core security skills and rules, translators for popular coding agents, and validators to test skills and rule compliance.
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## Why Project CodeGuard?
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**During and After Code Generation.**
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Project CodeGuard is designed to integrate seamlessly across the entire AI coding lifecycle.
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-**Before code generation**, skills and rules can be used for the design of a product and for spec-driven development. You can use the rules in the “planning phase” of an AI coding agent to steer models toward secure patterns from the start.
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-**Before code generation**, skills and rules can be used for the design of a product and for spec-driven development. You can use the skills and rules in the “planning phase” of an AI coding agent to steer models toward secure patterns from the start.
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-**During code generation**, skills and rules can help AI agents to prevent security issues as code is being written.
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-**After code generation**, AI agents like Cursor, GitHub Copilot, Codex, Windsurf, and Claude Code can use the rules for code review.
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3.**Release automation** packages skills and rules into downloadable ZIP files
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4.**AI assistants** reference these skills and rules when generating or reviewing code
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5.**Secure code** is produced automatically without developer intervention
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