5 DevSecOps Metrics That Prove Your Security Program Works
Written by the Rafter Team
DevSecOps metrics quantify how effectively your team finds, triages, and fixes security issues across the development lifecycle. Without measurable KPIs, security programs rely on anecdotes — "we think we're improving" — instead of evidence. The five metrics below give you a concrete dashboard for tracking whether your shift-left investment is actually working.
Most teams adopt DevSecOps tooling but never measure whether it changed outcomes. Scanners run in CI, findings appear in dashboards, and everyone assumes the pipeline is more secure. Assumption is not measurement. These five KPIs close the gap between tooling and proof.
If you cannot measure your security posture, you cannot improve it. Teams that track DevSecOps KPIs fix critical vulnerabilities 4x faster than teams that rely on ad-hoc triage. Dashboards are not overhead — they are the feedback loop that makes shift-left work.
Start tracking your security metrics with Rafter — get scan coverage and MTTR data from your first pipeline run.
1. Mean Time to Remediate (MTTR)
MTTR measures the average time between discovering a vulnerability and deploying its fix to production. It is the single most important DevSecOps metric because it directly reflects your team's ability to respond to risk.
Benchmarks:
- Critical vulnerabilities: under 48 hours
- High severity: under 7 days
- Medium severity: under 30 days
Track MTTR by severity tier. A low overall MTTR that hides slow critical-vulnerability response is worse than no metric at all. Break it down by scanner type (SAST, SCA, DAST) to identify where your remediation pipeline stalls.
2. Vulnerability Escape Rate
Vulnerability escape rate is the percentage of vulnerabilities that reach production without being caught by pre-deployment scanning. It answers a direct question: is your CI/CD security gate actually stopping issues?
Calculation: (vulnerabilities found in production / total vulnerabilities found) × 100
A healthy DevSecOps pipeline keeps escape rate below 5%. If your escape rate exceeds 15%, your scanning coverage has gaps — either scanners are misconfigured, scan results are being ignored, or entire categories of vulnerabilities are not being tested.
3. Scan Coverage
Scan coverage measures the percentage of repositories, services, and pipelines that have active security scanning enabled. A team with excellent MTTR on scanned repos but only 40% scan coverage has a false sense of security.
What to track:
- Percentage of repos with SAST enabled
- Percentage of repos with SCA (dependency scanning) enabled
- Percentage of production services with DAST or runtime scanning
Your target is 100% coverage across all three categories. Anything less means you have blind spots where vulnerabilities accumulate undetected.
4. Security Debt Ratio
Security debt ratio compares the volume of open, unresolved findings against the rate at which your team closes them. It tells you whether your backlog is growing or shrinking — and whether you are shipping faster than you are fixing.
Calculation: open findings / (open findings + closed findings over the last 90 days)
A ratio above 0.7 means your team is accumulating security debt faster than it resolves it. Below 0.3 indicates a healthy remediation pace. Track this monthly to detect trends before the backlog becomes unmanageable.
5. Developer Adoption Rate
Developer adoption rate measures how many developers actively engage with security findings — triaging, fixing, or closing issues rather than ignoring scanner output. Tools that generate findings nobody acts on produce noise, not security.
What to track:
- Percentage of findings resolved by the developer who introduced them
- Average time from finding assignment to first developer action
- Percentage of scan results dismissed without review
High adoption (above 70% of findings addressed by the originating developer) correlates with lower MTTR and lower escape rates. If adoption is below 40%, your tooling may be producing too many false positives or your findings lack actionable remediation guidance.
See how Rafter surfaces actionable findings to developers — prioritized by severity with fix suggestions inline.