AI-Assisted Incident Triage: Automated Severity Classification and Routing

What Did This Cybersecurity Research Find?

This cybersecurity incident management study developed and evaluated an AI system for automatically classifying incident severity and routing cases to appropriate response teams. Cybersecurity incident triage augmented by AI reduced time-to-first-response by 47% and correctly classified severity in 88% of cases, outperforming junior analysts but underperforming senior analysts.

Key Findings

• 1AI-assisted triage reduced time-to-first-response by 47%
• 2Severity classification accuracy was 88%, between junior (74%) and senior analyst (94%) performance
• 3Routing accuracy (correct team assignment) was 82%
• 4The largest gains were during off-hours when senior analysts were unavailable
• 5Analyst override rate was 12%, concentrated on complex multi-vector incidents

How Does This Apply to Cybersecurity Careers?

IR analysts should expect AI-assisted triage in their workflow. The research shows AI performs at a mid-level analyst capability for triage, making human expertise still essential for complex cases.

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