Revise README to detail Project CodeGuard features

Expanded the README to provide detailed information about Project CodeGuard, its purpose, security coverage, quick start guide, and community engagement.

Author: santosomar

README.md

@@ -1,2 +1,60 @@
-# rules
-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.
+# Project CodeGuard: Security Rules for AI Coding Agents
+
+[Project CodeGuard](https://project-codeguard.org) is an open-source, model-agnostic security framework that embeds secure-by-default practices into AI coding agent workflows. It provides comprehensive security rules that guide AI assistants to generate more secure code automatically.
+
+## Why Project CodeGuard?
+
+AI coding agents are transforming software engineering, but this speed can introduce security vulnerabilities. Is your AI coding agent implementation introducing security vulnerabilities?
+
+- ❌ Skipping input validation
+- ❌ Hardcoding secrets and credentials
+- ❌ Using weak cryptographic algorithms
+- ❌ Relying on unsafe functions
+- ❌ Missing authentication/authorization checks
+- ❌ Missing any other security best practice
+
+Project CodeGuard solves this by embedding security best practices directly into AI coding agent workflows. 
+
+**During and After Code Generation.**
+
+These rules can be used for: 
+- preventing vulnerabilities from being introduced during code generation
+- automated code review by AI agents
+
+
+## Security Coverage
+
+Our rules cover essential security domains:
+
+- **🔐 Cryptography**: Safe algorithms (including post-quantum cryptography), secure key management, certificate validation
+- **🛡️ Input Validation**: SQL injection prevention, XSS protection, command injection defense
+- **🔑 Authentication**: MFA best practices, OAuth/OIDC, secure session management
+- **⚡ Authorization**: RBAC/ABAC, access control, IDOR prevention
+- **📦 Supply Chain**: Dependency security, SBOM generation, vulnerability management
+- **☁️ Cloud Security**: IaC hardening, container security, Kubernetes best practices
+- **📱 Platform Security**: Mobile apps, web services, API security
+- **🔍 Data Protection**: Privacy, encryption at rest/transit, secure storage
+
+## Quick Start
+
+Get started in minutes:
+
+1. **Download the rules** from our [releases page](https://github.com/project-codeguard/rules/releases)
+2. **Copy to your project** - Place AI agent and IDE specific rules in your repository
+3. **Start coding** - AI assistants will automatically follow security best practices
+
+- Additional details in the [Get Started →](getting-started.md)
+
+
+## How It Works
+
+1. **Security rules** are written in a unified markdown format
+2. **Conversion tools** translate rules to IDE and AI agent formats
+3. **AI assistants** reference these rules when generating or reviewing code
+4. **Secure code** is produced automatically without developer intervention
+
+## Community
+
+- **📋 Issues**: [Report bugs or request features](https://github.com/project-codeguard/rules/issues)
+- **💬 Discussions**: [Join the conversation](https://github.com/project-codeguard/rules/discussions)
+- **🤝 Contributing**: [Learn how to contribute](https://github.com/project-codeguard/rules/blob/main/CONTRIBUTING.md)