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
- Homepage: cybermind.ai
- Twitter: @cybermind_ai
- GitHub: github.com/cybermind-ai
🤝 Contributing
We welcome researchers, students, and engineers interested in AI + Cybersecurity.
If you would like to collaborate:
- Open an issue with your proposal or idea.
- Fork and submit a PR with your improvement.
- 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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