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README.md

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-# OpenSOC-AI Model
+# OpenSOC-AI
 
-This model is part of the OpenSOC-AI project, designed to automate threat classification in Security Operations Centers (SOC).
+OpenSOC-AI is a fine-tuned language model designed to automate threat classification in Security Operations Centers (SOC).
 
-## Use Case
+## 🔍 Overview
+This model classifies SOC alerts and prioritizes threats using a fine-tuned LLM trained on custom security datasets.
+
+## 🚀 Use Cases
 - SOC alert classification
 - Threat prioritization
-- Security automation
+- Security automation workflows
 
-## Paper
+## 📄 Paper
 https://arxiv.org/abs/2604.26217
 
-## GitHub
+## 💻 Code
 https://github.com/chaitanyagarware/opensoc-ai
 
-## Notes
-This model is fine-tuned on a custom SOC dataset.
+## 📦 Model Details
+- Format: safetensors
+- Precision: 8-bit
+- Base model: (add if you used one like LLaMA, Mistral, etc.)
+
+## ⚠️ Notes
+This model is trained on a custom SOC dataset and intended for research purposes.
+
+## 📖 Citation
+If you use this model, please cite:
+
+@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}
+}