AI & ML interests

Large Language Models for automated vulnerability analysis Adversarial ML in cybersecurity Graph Neural Networks for attack path prediction AutoML for malware classification AI-driven threat intelligence pipelines Lightweight edge ML for network intrusion detection

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CyberMind: AI-Powered Cybersecurity Research Lab

Welcome to CyberMind, a nonprofit research lab building open, AI-powered tools for cybersecurity analysis, intelligent threat detection, and automated vulnerability research.


🚀 Our Mission

  • Advance AI & ML in cybersecurity to democratize intelligent defense tools.
  • Build LLM-powered pipelines for system and network vulnerability analysis.
  • Create open-source frameworks for automated exploit detection and mitigation.
  • Research adversarial ML and lightweight edge ML for network protection.
  • Share educational resources for AI-based cybersecurity learning.

🛠️ Current Focus

  • LLMs for vulnerability analysis (LLaMA, Mistral, Qwen, Cybersecurity fine-tunes)
  • Graph Neural Networks for attack path mapping
  • AutoML pipelines for malware classification
  • Threat intelligence extraction using NLP
  • LLM CLI + Web dashboards for analysis workflows
  • Adversarial robustness testing for ML models in cybersecurity

🌐 Links


🤝 Contributing

We welcome researchers, students, and engineers interested in AI + Cybersecurity.
If you would like to collaborate:

  1. Open an issue with your proposal or idea.
  2. Fork and submit a PR with your improvement.
  3. Discuss your research interests with us in issues or discussions.

📄 License

All projects under this organization are released under the MIT License unless otherwise specified.


CyberMind: Automating intelligence, democratizing defense.

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