Which metric helps operators prioritize actions under time pressure on OT security dashboards?

Which metric helps operators prioritize actions under time pressure on OT security dashboards?

• A. Total number of alerts since start
• B. Time-to-respond
• C. Number of users online
• D. Average server CPU

Answer: (B)

Under time pressure, the most relevant measure is how quickly operators start taking action after an alert is triggered. Time-to-respond directly gauges how fast remediation begins, which is essential for prioritizing what to tackle first. In OT environments, where delays can lead to safety risks or costly downtime, knowing which alerts are taking the longest to address helps triage and allocate attention to the most urgent items, promoting faster containment and recovery. The other metrics don’t signal urgency in the moment: the total number of alerts since start can overwhelm the view and isn’t about how quickly you’re acting; the number of users online doesn’t reflect incident severity or response speed; and the average server CPU is a performance metric, not a measure of security response priority.

Under time pressure, the most relevant measure is how quickly operators start taking action after an alert is triggered. Time-to-respond directly gauges how fast remediation begins, which is essential for prioritizing what to tackle first. In OT environments, where delays can lead to safety risks or costly downtime, knowing which alerts are taking the longest to address helps triage and allocate attention to the most urgent items, promoting faster containment and recovery.

The other metrics don’t signal urgency in the moment: the total number of alerts since start can overwhelm the view and isn’t about how quickly you’re acting; the number of users online doesn’t reflect incident severity or response speed; and the average server CPU is a performance metric, not a measure of security response priority.