CyberScale Technical Severity v1
Incident technical severity classifier (T1-T4). Assesses observable technical impact from a CSIRT perspective based on structured incident fields.
Model Description
- Architecture: ModernBERT-base with 4-class classification head
- Training: 8,000 parametric incident scenarios (50 templates ร field combinations)
- Confidence: Monte Carlo dropout (20 passes) maps variance to high/medium/low
- Labels: T1 (minor) โ T4 (catastrophic)
Intended Use
Classify the technical severity of cyber incidents based on service disruption, affected entities, cascading effects, and data compromise. Part of the CyberScale dual-scale incident classification system (T-level + O-level โ Blueprint matrix).
Input format: <description> [SEP] disruption: <level> entities: <N> sectors: <N> cascading: <level> data_compromise: <level>
Metrics
| Metric | Value | Target |
|---|---|---|
| Accuracy | 1.0 | > 75% |
| Macro F1 | 1.0 | > 75% |
Citation
Part of the CyberScale project โ multi-phase cyber severity assessment MCP server.
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Evaluation results
- Accuracyself-reported1.000
- Macro F1self-reported1.000