CybersecurityRiskAnalyst

⭐ Find this useful? Clone it, star the repo, and cite the paper. If you use this model in academic or professional work, please cite arXiv:2603.20131 (see How to cite). Model DOI: 10.57967/hf/9777.

CybersecurityRiskAnalyst is a custom fine-tuned Large Language Model (LLM) designed to act as a senior cybersecurity risk assessor and strategist. It is published on Ollama and has 1,400+ downloads. This repository makes the model formally citable and links it to the research paper it accompanies.

• Model: saki007ster/CybersecurityRiskAnalyst on Ollama
• Base model: Llama 3.1 8B (llama architecture, 8.03B parameters)
• Quantization: Q4_0 · Size: 4.7 GB · Context window: 128K
• Tags: text, cybersecurity, risk assessment

What it does

• Risk Posture Evaluation — assesses an organization's overall security posture
• Framework Mapping — NIST CSF, CIS Controls, MITRE ATT&CK, ISO/IEC 27001
• Threat Intelligence Awareness
• Gap Analysis
• Prioritized Recommendations
• Human-Centric Reports — clear, decision-ready output
• Explainability — reasoning you can follow and audit

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DOI

Model DOI (Hugging Face): 10.57967/hf/9777

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Install & Use

Requires Ollama.

# Pull the model
ollama pull saki007ster/CybersecurityRiskAnalyst

# Or pull-and-run in one step
ollama run saki007ster/CybersecurityRiskAnalyst

Minimal usage example

ollama run saki007ster/CybersecurityRiskAnalyst \
  "We run a 200-person fintech on AWS with no formal incident response plan. \
   Assess our top cyber risks and map them to NIST CSF."

Or via the Ollama HTTP API:

curl http://localhost:11434/api/generate -d '{
  "model": "saki007ster/CybersecurityRiskAnalyst",
  "prompt": "Perform a NIST CSF gap analysis for a small healthcare provider storing PHI in a single on-prem server.",
  "stream": false
}'

Python:

import ollama

response = ollama.chat(
    model="saki007ster/CybersecurityRiskAnalyst",
    messages=[{
        "role": "user",
        "content": "Prioritize remediation for an org with exposed RDP, no MFA, and unpatched VPN.",
    }],
)
print(response["message"]["content"])

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How to cite

This model accompanies the paper below — if you use the model in academic or professional work, please cite the paper.

Gupta, Ravish; Kumar, Saket; Sharma, Shreeya; Dang, Maulik; and Aggarwal, Abhishek (2026). An Agentic Multi-Agent Architecture for Cybersecurity Risk Management. arXiv preprint arXiv:2603.20131.

APA

Gupta, R., Kumar, S., Sharma, S., Dang, M., & Aggarwal, A. (2026). An Agentic Multi-Agent Architecture for Cybersecurity Risk Management. arXiv preprint arXiv:2603.20131.

MLA

Gupta, Ravish, et al. "An Agentic Multi-Agent Architecture for Cybersecurity Risk Management." arXiv preprint arXiv:2603.20131 (2026).

Chicago

Gupta, Ravish, Saket Kumar, Shreeya Sharma, Maulik Dang, and Abhishek Aggarwal. "An Agentic Multi-Agent Architecture for Cybersecurity Risk Management." arXiv preprint arXiv:2603.20131 (2026).

Harvard

Gupta, R., Kumar, S., Sharma, S., Dang, M. and Aggarwal, A., 2026. An Agentic Multi-Agent Architecture for Cybersecurity Risk Management. arXiv preprint arXiv:2603.20131.

Vancouver

Gupta R, Kumar S, Sharma S, Dang M, Aggarwal A. An Agentic Multi-Agent Architecture for Cybersecurity Risk Management. arXiv preprint arXiv:2603.20131. 2026.

BibTeX

@article{gupta2026agentic,
  title   = {An Agentic Multi-Agent Architecture for Cybersecurity Risk Management},
  author  = {Gupta, Ravish and Kumar, Saket and Sharma, Shreeya and Dang, Maulik and Aggarwal, Abhishek},
  journal = {arXiv preprint arXiv:2603.20131},
  year    = {2026}
}

A machine-readable CITATION.cff is also provided — GitHub will render a "Cite this repository" button from it.

Citing the model artifact directly (Hugging Face DOI)

To cite the model itself (not the paper), use its Hugging Face DOI:

@misc{kumar2026cybersecurityriskanalyst,
  author    = {Saket Kumar and Ravish Gupta},
  title     = {CybersecurityRiskAnalyst (Revision 1842e1c)},
  year      = {2026},
  url       = {https://huggingface.co/saki007ster/CybersecurityRiskAnalyst},
  doi       = {10.57967/hf/9777},
  publisher = {Hugging Face}
}

The model artifact was built by Saket Kumar and Ravish Gupta (hence two authors on the model DOI). The paper (arXiv:2603.20131) has five authors — for academic/professional use, prefer the paper citation above; use the model DOI for reproducibility/data-availability statements.

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Authors & attribution

Model (the fine-tuned artifact — Ollama & Hugging Face, DOI 10.57967/hf/9777):

• Saket Kumar — model author / maintainer (saki007ster)
• Ravish Gupta

Paper (An Agentic Multi-Agent Architecture for Cybersecurity Risk Management, arXiv:2603.20131):

• Ravish Gupta
• Saket Kumar
• Shreeya Sharma
• Maulik Dang
• Abhishek Aggarwal

---

License

This model is a fine-tuned derivative of Meta Llama 3.1 8B and is therefore governed by the Llama 3.1 Community License Agreement (Version Release Date: July 23, 2024).

• Built with Llama. Use is subject to Meta's Acceptable Use Policy.
• The base-model license terms are inherited by this derivative; see LICENSE for the full text.

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Related

• 📄 Paper: An Agentic Multi-Agent Architecture for Cybersecurity Risk Management (arXiv:2603.20131)
• 🤖 Model (Ollama): saki007ster/CybersecurityRiskAnalyst
• 🤗 Model (Hugging Face): saki007ster/CybersecurityRiskAnalyst · DOI 10.57967/hf/9777
• 🛠 Modelfile: Modelfile in this repo