Workflow metrics are measurements that describe how work is actually carried out, not just whether a tool was deployed. They include quality checks, exception rates, rework, handoff friction, review depth, and how often human judgment overrides automation. In cyber security, these metrics matter because a process can look efficient on paper while quietly producing bad decisions, missed alerts, or unsafe shortcuts.
For example, in a security-alert triage workflow, raw throughput may improve after automation, but workflow metrics can reveal false negatives, delayed containment, or analysts repeatedly reclassifying cases. Defenders use these measurements to test whether controls, escalation rules, and human review are working as intended. Attackers benefit when organizations ignore them, because a brittle workflow can be exploited through overload, misrouted approvals, or automation bias. Good workflow metrics show whether security operations are truly safer, not merely faster.