A newer version of this model is available: HuggingFaceTB/SmolLM3-3B

πŸ›‘οΈ Cyber Threat Detector Africa

Developed by Allsafeafrica
A lightweight NLP model built to detect and classify potential cybersecurity threats in textual data across African SMEs, startups, and digital communities.


πŸ“Œ Overview

Cyber Threat Detector Africa is an AI-powered model designed to:

  • Classify cyber risk indicators in natural language (emails, messages, reports)
  • Support awareness in employee training platforms
  • Act as a backend tool for ESG-cyber hybrid security assessments

🧠 Model Info

Attribute Detail
Framework transformers, pytorch
Base Model distilbert-base-uncased
Fine-tuned On Synthetic + local African threat incident data
Labels phishing, malware, social-engineering, safe, suspicious
Accuracy ~91.7% on test set

✨ Example Usage

from transformers import pipeline

threat_detector = pipeline("text-classification", model="allsafeafrica/cyber-threat-detector-africa")

text = "Your account has been suspended. Click here to verify your identity."
threat_detector(text)
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