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Securing IoMT at Scale: What 340,000+ Devices Taught Us
Field observations from monitoring over 340,000 connected medical devices and surfacing thousands of device-level vulnerabilities that traditional scanning can miss.



Connected medical devices expand clinical capability, but they also expand risk in ways conventional IT tooling often misses.
Across environments where SecUnit's IoMT workflows are deployed, we now monitor more than 340,000 connected devices and have helped surface over 2,100 device-level vulnerabilities.
Why IoMT Is Different from Standard IT Asset Security
Many devices operate with fixed firmware, constrained maintenance windows, and vendor-managed dependencies.
That creates gaps:
- Limited patch cadence.
- Inconsistent device identity data.
- Hidden lateral exposure through shared network paths.
What We Prioritize in Device Monitoring
Scale without context is noise. We prioritize three outcomes:
- Accurate device inventory and classification.
- Exposure correlation to known vulnerabilities and reachable paths.
- Clear remediation sequencing aligned with clinical constraints.
Common Failure Modes We Keep Seeing
In practice, organizations struggle most with:
- Incomplete visibility across campuses and facilities.
- Overreliance on periodic scans that miss operational drift.
- Remediation queues that are not tied to patient-impact risk.
These are process and architecture problems, not just tooling problems.
What Actually Improves Outcomes
The teams with the strongest results combine:
- Passive monitoring for low-disruption visibility.
- Risk scoring tied to real asset context.
- Joint workflows between biomedical engineering, security, and IT.
When these groups share one operational picture, remediation becomes faster and less disruptive.
Where We Are Heading
IoMT security maturity is a long-term program. Our roadmap keeps focusing on:
- Faster identification of high-risk exposure chains.
- Better containment guidance for environments with strict uptime requirements.
- Reporting that maps technical device risk to leadership-level decision making.