AI-Powered Security Code Reviews
A robust code review platform powered by the NVIDIA AgentIQ Toolkit, designed for analyzing code repositories with AI-assisted security reviews and recommendations.
A robust code review platform powered by the NVIDIA AgentIQ Toolkit, designed for analyzing code repositories with AI-assisted security reviews and recommendations.
View project statistics, including file counts, scanning status, and security risk distributions.
View, scan, and manage files within projects with an intuitive interface.
View and manage security findings from AI code reviews with detailed recommendations.
Leverages NVIDIA AgentIQ Toolkit for AI intelligent code analysis and security reviews workflow management.
Choose your preferred AI model for code reviews, allowing you to use the most appropriate model for your specific security requirements.
Supports both local offline LLMs and cloud-based models, providing complete flexibility to balance performance, privacy, and accessibility.
A comprehensive overview of your codebase's security status, enabling teams to prioritize security efforts efficiently and track progress over time.
Secure file handling with granular security checks, helping identify vulnerable file patterns and permissions that could pose security risks.
Organization-wide security metrics to identify trends and enforce consistent security practices across all development projects.
Detailed security vulnerability reports with AI-powered remediation steps, empowering developers to understand and fix security issues effectively.
Advanced risk visualization and prioritization tools to address the most critical security flaws first, ensuring efficient DevSecOps workflows.
OpenCodeReview is a proof-of-concept (POC) build created for the Nvidia Hackathon. It provides a modern web interface for performing automated security code reviews using AI agents.
Our platform brings together cutting-edge AI technology with practical code security analysis to help developers identify and fix potential vulnerabilities before they become issues.
Built with modern technologies including React, TypeScript, and Tailwind CSS, OpenCodeReview delivers a seamless and intuitive user experience for security-focused code analysis.
Support local offline LLM and Online Cloud LLM, giving you complete flexibility based on your infrastructure needs.
Very low cost to perform secure source code review compared to expensive commercial source code analyzers or scanning tools.
Run it completely in your local environment - you don't have to send your source code to cloud-based source code scanners.
If you have a local GPU with local LLM, you can perform as many assessments as you want without additional costs.
Reduce engagement with IT Security Consultants for secure source code review, saving significant costs.
Designed for IT Security Consultants and Specialists who may not be familiar with coding tools or AI prompting. Just click the "Analysis" button to start the review - no manual prompting needed.
This tool will be posted to GitHub after Victor's submission to the Nvidia Hackathon.
This version uses OWASP TOP 10 2021 to perform secure code reviews, leveraging the Nvidia AIQ Toolkit for AI Agent, Tool, and workflow implementation.
If you find this tool helpful, please introduce it to your friends and colleagues. If you have any questions, please feel free to reach out to me on LinkedIn. Connect with me
OpenCodeReview provides a user-friendly interface specifically designed for IT Security Consultants and Specialists who may not have programming backgrounds.
Many security professionals face challenges when it comes to reviewing code because they:
With OpenCodeReview, all required code review instruction prompts are embedded in the tool. Users don't have to interact with a chat interface or manually type prompts multiple times. They can simply click the "Analysis" button, and the AI will:
This tool provides a streamlined, intuitive interface that allows non-programming users to perform professional secure code reviews with just a few clicks.
Interested in learning more about OpenCodeReview? Connect with me through my GitHub repository or LinkedIn.