65 lines
2.3 KiB
Markdown
65 lines
2.3 KiB
Markdown
---
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license: mit
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datasets:
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- AlicanKiraz0/Cybersecurity-Dataset-v1
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language:
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- en
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base_model:
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- meta-llama/Llama-3.2-1B-Instruct
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tags:
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- SFT
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- rl
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- Cybersecurity
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- transformers
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- trl
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metrics:
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- accuracy
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- bertscore
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pipeline_tag: text-generation
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library_name: transformers
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---
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# DrDiag-QwenVL2
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CyberXP Agent: An AI-Powered Cyber Threat Assessment Solution
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### Real-World Cyber Threat Assessment Made Simple with CyberXP Agent
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Cybersecurity teams today are under constant pressure to detect and respond to threats quickly and accurately.
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There’s no shortage of tools out there, but many require cloud connections, extensive configuration, or don’t reflect company-specific procedures.
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This is where CyberXP Agent stands out—a practical solution designed from the ground up with real incident response workflows in mind.
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---
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## Model Details
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- **Base Model:** meta-llama/Llama-3.2-1B-Instruct
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- **Finetuning:** Supervised-Fine-Tunning
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- **Dataset:** AlicanKiraz0/Cybersecurity-Dataset-v1
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- **Developed, Funded & Shared by:** Abaryan
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- **License:** MIT
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- **Type:** Text
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- **Languages:** English
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---
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## Out-of-Scope Use
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This model is intended solely for research and educational purposes in cybersecurity AI.
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It should not be used as an autonomous incident-response system or relied upon for real-world security decisions without expert human review,
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organizational validation, and appropriate safeguards.
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## Bias, Risks, and Limitations
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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.
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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.
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Ethical and operational considerations: Use responsibly in controlled settings.
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Avoid exposing confidential or sensitive threat information to public or shared deployments. Always maintain human oversight and follow internal security policies when applying outputs.
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---
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## How to Get Started with the Model
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Use our provided HF-Space 🤗:
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https://huggingface.co/spaces/abaryan/CyberXP_AGENT_Llama_3.2 |