File size: 1,003 Bytes
8a3cef3
1a7bc81
8a3cef3
1a7bc81
8a3cef3
 
 
 
1a7bc81
 
8a3cef3
1a7bc81
8a3cef3
1a7bc81
 
8a3cef3
1a7bc81
 
8a3cef3
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
# OpenSOC-AI

OpenSOC-AI is a fine-tuned language model designed to automate threat classification in Security Operations Centers (SOC).

## πŸ” Overview
This model classifies SOC alerts and prioritizes threats using a fine-tuned LLM trained on custom security datasets.

## πŸš€ Use Cases
- SOC alert classification
- Threat prioritization
- Security automation workflows

## πŸ“„ Paper
https://arxiv.org/abs/2604.26217

## πŸ’» Code
https://github.com/chaitanyagarware/opensoc-ai

## πŸ“¦ 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.

## πŸ“– 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}
}