Risk-aware classification via uncertainty quantification

The paper embeds uncertainty quantification into risk-aware classification so that the model can adjust its decisions based on risk, not just predicted labels.

This is valuable in cybersecurity because false certainty can be costly. Risk-aware classification supports better alert prioritisation, triage, and decision support under uncertainty.