| # OpenSOC-AI |
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| OpenSOC-AI is a fine-tuned language model designed to automate threat classification in Security Operations Centers (SOC). |
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| ## 🔍 Overview |
| This model classifies SOC alerts and prioritizes threats using a fine-tuned LLM trained on custom security datasets. |
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| ## 🚀 Use Cases |
| - SOC alert classification |
| - Threat prioritization |
| - Security automation workflows |
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| ## 📄 Paper |
| https://arxiv.org/abs/2604.26217 |
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| ## 💻 Code |
| https://github.com/chaitanyagarware/opensoc-ai |
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| ## 📦 Model Details |
| - Format: safetensors |
| - Precision: 8-bit |
| - Base model: (add if you used one like LLaMA, Mistral, etc.) |
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| ## ⚠️ Notes |
| This model is trained on a custom SOC dataset and intended for research purposes. |
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| ## 📖 Citation |
| If you use this model, please cite: |
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| @article{garware2026opensoc, |
| title={OpenSOC-AI: Automating Threat Classification in Security Operations Centers Using Fine-Tuned Language Models}, |
| author={Garware, Chaitanya}, |
| year={2026}, |
| journal={arXiv preprint arXiv:2604.26217} |
| } |
