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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