ResearchFebruary 5, 2026

Mean Time to Remediation: From Hours to Seconds

How three health systems reduced MTTR by 94% with SecUnit's precision remediation agent - without disrupting clinical workflows.

Kyla
Kyla
Mary
Mary
Mean Time to Remediation: From Hours to Seconds

Mean Time to Remediation (MTTR) is the metric that keeps CISOs up at night. In healthcare, it's especially critical because every minute a vulnerability remains unpatched is a minute that patient data, clinical systems, and medical devices are at risk.

The industry average MTTR for healthcare organizations is 205 days. That's not a typo. Most healthcare security teams are working through vulnerability backlogs that are months - sometimes years - old.

The Study

We partnered with three health systems of varying sizes to measure the impact of SecUnit's precision remediation agent on their MTTR:

  • System A - 12 hospitals, 4,200 beds, 45,000 endpoints
  • System B - 3 hospitals, 900 beds, 11,000 endpoints
  • System C - 1 hospital, 280 beds, 3,200 endpoints

Each system had been using traditional vulnerability management tools (Qualys, Tenable, or Rapid7) for at least two years prior to deploying SecUnit.

Results

After 90 days of production deployment:

| Metric | Before SecUnit | After SecUnit | Change | | --- | --- | --- | --- | | MTTR (critical) | 12.4 hours | 43 seconds | -99.9% | | MTTR (high) | 8.2 days | 4.1 hours | -97.9% | | MTTR (medium) | 47 days | 2.3 days | -95.1% | | Open critical vulns | 142 | 3 | -97.9% | | Clinical disruptions | 7/quarter | 0 | -100% |

The key insight: speed without disruption. Traditional remediation approaches often required maintenance windows, clinical system downtime, or manual coordination with department heads. SecUnit's precision remediation agent understands clinical workflows and schedules remediation during natural low-utilization periods.

How the Remediation Agent Works

The agent doesn't just apply patches. It:

  1. Validates the vulnerability is exploitable in the specific environment
  2. Tests the remediation in a sandboxed replica of the affected system
  3. Identifies the optimal remediation window based on system utilization patterns
  4. Applies the fix with automatic rollback capability
  5. Verifies the vulnerability is resolved post-remediation

Every step is auditable. Every action is reversible.