Hugging Face's logo

saki007ster
/
CybersecurityRiskAnalyst

GGUF
conversational
Model card Files
xet
 Community
How to use from the
Use from the
llama-cpp-python library
# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="saki007ster/CybersecurityRiskAnalyst",
	filename="CybersecurityRiskAnalyst.gguf",
)

llm.create_chat_completion(
	messages = "No input example has been defined for this model task."
)

YAML Metadata Warning:empty or missing yaml metadata in repo card

Check out the documentation for more information.

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.

Related

Downloads last month
120
GGUF
Model size
8B params
Architecture
llama
Hardware compatibility
Log In to add your hardware

We're not able to determine the quantization variants.

View all variants
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support

Paper for saki007ster/CybersecurityRiskAnalyst