File size: 1,612 Bytes
0653333 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 |
---
license: mit
tags:
- cybersecurity
- threat-detection
- malware
- phishing
- anomaly-detection
library_name: sklearn
pipeline_tag: tabular-classification
---
# CyberForge AI Security Models
Production-ready machine learning models for real-time cybersecurity threat detection.
## Models Included
| Model | Task | Accuracy | F1 Score | Inference |
|-------|------|----------|----------|-----------|
| phishing_detection | Detect phishing URLs | 98.9% | 0.989 | 0.02ms |
| malware_detection | Identify malware | 99.8% | 0.998 | 0.001ms |
| anomaly_detection | Network anomalies | 99.9% | 0.999 | 0.007ms |
| web_attack_detection | Web attacks | 100% | 1.000 | 0.03ms |
## Quick Start
```python
from cyberforge_inference import CyberForgePredictor
# Initialize
predictor = CyberForgePredictor()
# Predict
result = predictor.predict("phishing_detection", features)
print(f"Threat: {result['prediction']}, Confidence: {result['confidence']}")
```
## API Usage
```python
import requests
response = requests.post(
"https://your-api-endpoint/predict",
json={
"model": "phishing_detection",
"features": {...}
}
)
```
## Features
- **Real-time inference** < 1ms per prediction
- **Multiple threat types**: Phishing, Malware, Anomalies, Web Attacks
- **Production-ready**: Optimized for high-throughput
- **Backend integration**: Compatible with Node.js/Python backends
## Training Data
Models trained on 50,000+ samples from:
- [CyberForge Datasets](https://huggingface.co/datasets/Che237/cyberforge-datasets)
## License
MIT License - Free for commercial and personal use.
|