Why do connected medical devices create identity security risk for hospitals?

Why This Matters for Security Teams

Connected medical devices turn identity into a safety issue, not just a compliance issue. Each device may authenticate to clinical systems, vendor portals, patch services, and monitoring platforms, which expands the trust boundary far beyond the bedside. When identity controls are weak, a device can become a pivot point for lateral movement, ransomware staging, or data exposure. The challenge is especially sharp because hospitals cannot simply treat every device like a laptop.

NHI Management Group’s research on the broader identity landscape shows how often organisations underestimate this problem: only 1.5 out of 10 organisations are highly confident in securing NHIs, according to The State of Non-Human Identity Security. For hospitals, that confidence gap matters because medical devices often stay in service for years, even when authentication schemes, vendor support, and segmentation practices age out. The result is a growing number of trust relationships that are hard to inventory and harder to retire.

That is why identity risk for medical devices should be viewed through a NHI lens, alongside operational resilience guidance such as the NIST Cybersecurity Framework 2.0 and the broader device identity patterns described in the Ultimate Guide to NHIs. In practice, many security teams discover device identity failures only after a vendor account, shared credential, or unmanaged endpoint has already been used to reach clinical systems.

How It Works in Practice

Hospitals face risk because connected medical devices rarely operate as isolated assets. A single imaging machine, infusion pump, or monitor may depend on embedded certificates, shared service accounts, vendor remote access, and API links into asset management or clinical workflow systems. If any one of those identities is over-privileged, long-lived, or reused across multiple devices, the blast radius can extend well beyond the device itself.

Security teams usually need to focus on the identity primitives first:

• Know what identity each device uses, including certificates, tokens, shared accounts, and remote service credentials.
• Replace static credentials where possible with short-lived secrets and tightly scoped access.
• Separate device identity from human admin access so service contractors do not inherit broad clinical privileges.
• Continuously monitor vendor and third-party connections, especially when devices authenticate into cloud-hosted management tools.

This is where current guidance aligns with zero trust and NHI principles rather than traditional endpoint thinking. The NIST identity model in NIST Cybersecurity Framework 2.0 supports stronger authentication, access review, and monitoring, while the NHI research in Top 10 NHI Issues explains why credential rotation, visibility, and privilege reduction repeatedly fail in real deployments. Hospitals also benefit from the practical framing in Ultimate Guide to NHIs, which treats identity as an operational dependency rather than a one-time configuration task.

The strongest control model is to bind device access to explicit purpose, environment, and lifecycle state, then revoke it when the device is decommissioned or moved out of clinical service. These controls tend to break down in multi-vendor hospital environments because legacy devices, shared service desks, and emergency support workflows often require exceptions that bypass standard identity governance.

Common Variations and Edge Cases

Tighter device identity controls often increase operational overhead, requiring hospitals to balance security gains against uptime, vendor support, and patient-care continuity. That tradeoff is real, especially for older devices that cannot support modern certificate handling or per-device authentication.

Best practice is evolving, but current guidance suggests hospitals should treat a few cases differently. Legacy devices may need compensating controls such as network isolation, proxy authentication, or strict maintenance windows. Devices used in life-critical workflows may require emergency access paths, but those paths should be logged, time-bound, and reviewed after use. Remote service accounts from vendors are another edge case: they are often essential, yet they should be segmented and monitored like privileged NHI rather than assumed to be low risk.

Hospitals should also avoid assuming that “connected” means “manageable.” Some devices only authenticate during updates or vendor diagnostics, which means gaps can remain invisible until a failure or incident forces the issue. The breach patterns discussed in 52 NHI Breaches Analysis show how often overlooked machine identities become the weak link. For operational teams, the practical target is not perfect uniformity. It is a defensible identity baseline that covers critical devices, isolates exceptions, and makes unsupported assets visible before they become clinical liabilities.

Related resources from NHI Mgmt Group

• Why do non-human identities create more risk than many human accounts?
• Why do non-human identities create more remediation risk than many human accounts?
• What is the difference between prompt injection risk and identity abuse in agents?
• When does static testing create a false sense of security?