What signals and metrics do you track to operate GitLeaks well?
Quick Answer
For GitLeaks, watch secrets caught pre-commit vs in CI vs in history, and time-to-rotation once a real leak is confirmed. Trend them over time; a single scan is a snapshot, the trend tells you if you are getting more secure or just accumulating debt.
Detailed Answer
Operating a scanner is not "turn it on" — it needs the same observability as any production system. For GitLeaks, the signals that matter are secrets caught pre-commit vs in CI vs in history, and time-to-rotation once a real leak is confirmed.
Trend them. Rising Critical counts on a stable codebase usually means a base image or dependency has aged, not that developers got careless. A rising false-positive rate is an early warning that the gate is about to lose the team's trust. Scan duration matters because a slow gate is a gate people route around.
Feed these into a dashboard alongside remediation SLAs so security posture is visible to the people who own it, not buried in a tool nobody logs into.
Code Example
# Signals to track for GitLeaks # secrets caught pre-commit vs in CI vs in history, and time-to-rotation once a real leak is confirmed # rule: trend over time, don't react to a single scan # rule: watch false-positive rate as closely as finding count
Interview Tip
Name false-positive rate as a leading indicator — it shows you understand adoption, not just scanning.