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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

DOI

DOI

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

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"])

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.

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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