Yes. If your team ships once a fortnight, a merged security fix can wait up to a fortnight before it runs in production. Deployment frequency and change lead time set a floor under the deploy stage of every exposure window, so improving them helps security even when no one is thinking about security.
Two metrics that matter here
DORA's guide to software delivery performance defines change lead time as the time it takes a change to go from committed to version control to deployed in production, and deployment frequency as the number of deployments over a period or the time between deployments. DORA groups both under throughput. It also says its research shows speed and stability are not tradeoffs and that the metrics tend to move together for most teams.
For security, read those as the answer to a practical question: once a fix exists, how soon can it be live?
Why the floor exists
Picture a team that deploys on a fixed weekly release. A fix merged an hour after a release waits nearly a week. A fix merged an hour before waits an hour. Over many fixes, the average wait is roughly half the release interval, and the worst case is the full interval. Nothing about the fix itself changed.
| Delivery rhythm | Typical effect on a fix |
|---|---|
| Deploy on every merge | Wait is the pipeline duration |
| Daily or several times a week | Wait is hours to a couple of days |
| Fixed release train | Wait depends on where the fix lands in the cycle |
| Manual, infrequent releases | Wait can dominate the whole window |
These are illustrative patterns, not benchmarks. Use your own numbers.
What to do if your rhythm is slow
- Add an expedited path. Define when a security fix may skip the train, who approves, and which checks still run. Keep the checks.
- Shrink the batch. Smaller releases are easier to test, so they can go sooner.
- Automate the repetitive checks. Smoke tests and artifact verification take minutes when scripted and hours when manual.
- Separate deploy from release where you can. Shipping code behind a switch lets you deploy a fix without exposing unrelated work.
- Rehearse. An emergency path that was never used tends to fail on its first use.
How to measure it for security
Take the last ten security fixes and record the merge time and the deploy time. Plot the gap. If the gaps cluster around your release interval, the release rhythm is the constraint. If they are scattered, look at approvals and failures instead.
Keep this separate from your overall DORA numbers. A team can have healthy averages and still hold security fixes behind the same gate as everything else.
A caution about speed
DORA's guide also stresses context: apply the metrics to one application or service at a time, rather than blending teams. A payment service and an internal wiki should not share a target. Decide the acceptable deploy floor per service, in line with how exposed and how critical it is.
Try it yourself
Open the vulnerability management demo and follow a finding from detection through to resolution. Note which steps happen before code is touched and which come after.
Click through it at your own pace, or open it full screen.
Safeguard tracks findings through to remediation, with policies and gates you configure and fix pull requests that are off by default. Run a free scan at gold.safeguard.sh/scan to start your own timeline.
Quick check
Is deployment frequency a security metric?
Not on its own. It becomes one when you ask how long a merged fix waits before it runs in production.
Should every fix skip the release train?
No. Define criteria for the expedited path, such as exploited or reachable flaws on exposed services, and use the normal rhythm for the rest.
Sources
Last reviewed: 19 October 2026.
