65 lines
2.3 KiB
Markdown
65 lines
2.3 KiB
Markdown
|
---
|
|||
|
|
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
|