CyberScale Operational Severity v1
Incident operational severity classifier (O1-O4). Assesses consequence and coordination needs from a crisis management perspective.
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: O1 (local) โ O4 (EU-wide crisis)
Intended Use
Classify the operational severity of cyber incidents based on entity relevance, cross-border impact, member states affected, and coordination needs. Part of the CyberScale dual-scale incident classification system (T-level + O-level โ Blueprint matrix).
Input format: <description> [SEP] sectors: <list> relevance: <level> ms_affected: <N> cross_border: <level> coordination: <level> capacity_exceeded: <bool>
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