abaryan's picture
Update README.md
75a7255 verified
metadata
license: mit
datasets:
  - AlicanKiraz0/Cybersecurity-Dataset-v1
language:
  - en
base_model:
  - meta-llama/Llama-3.2-1B-Instruct
tags:
  - SFT
  - rl
  - Cybersecurity
  - transformers
  - trl
metrics:
  - accuracy
  - bertscore
pipeline_tag: text-generation
library_name: transformers

DrDiag-QwenVL2

CyberXP Agent: An AI-Powered Cyber Threat Assessment Solution

Real-World Cyber Threat Assessment Made Simple with CyberXP Agent

Cybersecurity teams today are under constant pressure to detect and respond to threats quickly and accurately. There’s no shortage of tools out there, but many require cloud connections, extensive configuration, or don’t reflect company-specific procedures. This is where CyberXP Agent stands out—a practical solution designed from the ground up with real incident response workflows in mind.


Model Details

  • Base Model: meta-llama/Llama-3.2-1B-Instruct
  • Finetuning: Supervised-Fine-Tunning
  • Dataset: AlicanKiraz0/Cybersecurity-Dataset-v1
  • Developed, Funded & Shared by: Abaryan
  • License: MIT
  • Type: Text
  • Languages: English

Out-of-Scope Use

This model is intended solely for research and educational purposes in cybersecurity AI. It should not be used as an autonomous incident-response system or relied upon for real-world security decisions without expert human review, organizational validation, and appropriate safeguards.

Bias, Risks, and Limitations

Dataset limitations: The training data (AlicanKiraz0/Cybersecurity-Dataset-v1) represents a subset of cybersecurity scenarios and may not cover emerging threats, attack techniques, or organization-specific environments.

Model limitations: The agent’s assessments are based on textual reasoning and retrieval; it does not execute, monitor, or verify real system activity. Recommendations should be interpreted as advisory rather than authoritative.

Ethical and operational considerations: Use responsibly in controlled settings. Avoid exposing confidential or sensitive threat information to public or shared deployments. Always maintain human oversight and follow internal security policies when applying outputs.


How to Get Started with the Model

Use our provided HF-Space 🤗: https://huggingface.co/spaces/abaryan/CyberXP_AGENT_Llama_3.2