OT SOC Integration Health Scorecard
Enter your current metrics across six dimensions. The scorecard benchmarks each one against typical OT SOC integration performance, scores your integration health, and identifies the specific areas to fix first. If you do not yet have data for a metric, mark it as unknown — the scorecard will flag it as a gap.
How to use this tool
Pull your data from your SIEM or OT monitoring platform before starting. The six metrics map directly to the IT/OT SOC Integration Playbook. Run this scorecard quarterly to track improvement over time.
Detection coverage
01 / 06
Percentage of OT assets generating telemetry that reaches the SIEM. Covers both asset visibility and data forwarding completeness.
Current coverage
% of assets
Benchmark: 80%+ is operational. Below 60% means significant blind spots.
False positive rate (highest-volume alert category)
02 / 06
Percentage of alerts in your highest-volume OT alert category that are false positives. Use the category analysts complain about most.
False positive rate
%
Benchmark: below 30% is acceptable. Above 50% means analysts are ignoring that category.
Mean time to detect (confirmed OT incidents)
03 / 06
For confirmed OT security incidents, average hours between first indicator appearing in OT monitoring data and analyst detection. The core effectiveness metric.
Mean detection time
hours
Benchmark: under 4 hours is strong. 4–24 hours is acceptable. Over 24 hours indicates a systemic integration failure.
Mean time to triage (OT alerts)
04 / 06
Average time from alert arrival in the queue to analyst triage decision. Measures whether enrichment and playbooks are sufficient.
Mean triage time
minutes
Benchmark: under 15 min is strong. 15–30 min is acceptable. Over 30 min indicates enrichment or playbook gaps.
Escalation accuracy
05 / 06
Of alerts escalated to OT engineering, the percentage that genuinely required OT engineering involvement to resolve.
Escalations requiring OT
%
Benchmark: 50–80% is the target range. Below 30% means over-escalation. Above 90% means under-escalation.
Maintenance window alignment
06 / 06
Percentage of OT alerts that fire during approved maintenance windows. High rates indicate suppression rules are insufficient.
Alerts during maintenance
%
Benchmark: below 20% is acceptable. Above 40% means maintenance activity is generating analyst noise.
Integration health
OT SOC Integration Health Scorecard — otcybersecuritysoftware.com
Related guide
The IT/OT SOC Integration Playbook covers the translation layer, triage architecture, SOC model selection, and the eight-step implementation sequence that these metrics are designed to measure.