A GitHub repository containing a fine-tuned DistilBERT model for classifying cybersecurity threat logs with 89% accuracy. The model includes an Anthropic-inspired Constitutional AI alignment layer to sanitize threat descriptions. Utilizes Jupyter Notebook and Python.
From the README
🛡️ CyberConstituent-SLM Constitutional AI-Aligned Cybersecurity Threat Classifier A fine-tuned DistilBERT Small Language Model (SLM) engineered to accurately classify security logs and alerts into specific threat vectors. The training pipeline integrates an Anthropic-inspired Constitutional AI alignment layer, ensuring that raw threat descriptions are sanitized of explicit exploit payloads, SQL injection codes, and unverified geopolitical attribution bias. 🔗 Hugging Face Model Hub: sujithputta02/cyber-threat-constitutional-slm --- 🚀 Key Specifications • Base Architecture: distilbert-base-uncased (67M Parameters) • Task: 6-Class Single-Label Text Classification • Accuracy: 89%...
Skills
- Jupyter Notebook
- Python
