Why do connected medical devices increase hospital cyber risk?

Connected medical devices increase risk because they expand the identity perimeter and often rely on persistent credentials or weak segmentation. If one device is compromised, the associated access can become a route into other systems. In practice, device identity and network reach must be governed together, not treated as separate technical issues.

Why This Matters for Security Teams

Connected medical devices change the hospital threat model because they introduce persistent identities, remote management paths, and operational dependencies that often outlive the device itself. When those identities are weakly governed, a single exposed credential or mis-scoped access path can become a bridge from clinical technology into broader hospital systems. That is why device risk cannot be managed as a pure network-segmentation issue or a pure biomedical-engineering issue.

NHI Management Group has shown how frequently this pattern appears across enterprises: in the Ultimate Guide to NHIs, only 5.7% of organisations reported full visibility into service accounts. In a hospital, that same visibility gap makes it hard to answer a basic question quickly: which devices can authenticate, to what, and under what conditions? Security teams that wait for a clinical outage or incident to reveal those relationships are already behind the curve. Current guidance from the CISA cyber threat advisories consistently treats identity exposure and asset exposure as linked problems, not separate ones. In practice, many security teams encounter device-to-system lateral movement only after ransomware has already spread through a hospital environment.

How It Works in Practice

The practical risk comes from how medical devices are deployed and supported. Many devices use long-lived service credentials, vendor remote access, or embedded certificates that are difficult to rotate without disrupting care. Others trust broad internal network access once they are on a “medical VLAN,” even though that VLAN may still reach EHR interfaces, imaging systems, patch servers, or domain services. The result is an identity perimeter that is larger than the physical perimeter.

A better control model treats each device as a workload identity with explicit trust boundaries. That means tying the device to a cryptographic identity, limiting what it can request, and evaluating authorization at the time of use rather than assuming trust because the device is inside the hospital network. This is consistent with the direction of the NIST Cybersecurity Framework 2.0, which emphasises governance, protection, and continuous risk management. It also aligns with NHIMG guidance in the Ultimate Guide to NHIs — Key Challenges and Risks, where excessive privilege and weak lifecycle control are recurring failure points.

• Inventory every connected device identity, including vendor-managed accounts, certificates, and service tokens.
• Scope each identity to one function, one network path, or one application interface where possible.
• Use short-lived credentials and revocation workflows so access expires when a device is retired, quarantined, or reimaged.
• Log device authentication separately from network flow data so security and clinical engineering can correlate events quickly.
• Require segmentation policy to follow identity, not just subnet placement.

Hospitals also need change control that matches clinical reality: some devices cannot be patched or reconfigured on normal enterprise cycles, so compensating controls must be documented and tested. These controls tend to break down when legacy devices depend on flat trust relationships and vendors require shared, persistent credentials across fleets.

Common Variations and Edge Cases

Tighter control over medical device identity often increases operational overhead, requiring organisations to balance patient safety, vendor supportability, and breach containment. That tradeoff is real, especially for life-sustaining or regulated equipment that cannot tolerate frequent reauthentication or downtime.

Best practice is evolving, but current guidance suggests separating “cannot change quickly” from “should remain trusted.” A device may be operationally fixed, yet its access should still be constrained by context, maintenance windows, and explicit approvals. For remote vendor access, there is no universal standard for this yet, but most mature programs move toward just-in-time access, session recording, and approval workflows rather than standing VPN or shared account access. That is especially important because device compromise is rarely isolated; it can become a route into asset management platforms, clinical data services, or administrative domains.

For hospitals, the hardest edge cases are legacy imaging platforms, vendor appliances, and clinical IoT devices that cannot run modern agents or support frequent certificate rotation. In those environments, compensating controls such as one-way gateways, strict egress filtering, and dedicated administrative jump paths become the practical answer. The broader lesson from 52 NHI breaches Report is that compromise is usually not about a single weak device, but about the access path that device identity opens once it is trusted. That is why hospitals should treat device identity governance as part of resilience planning, not just security hygiene.

Related resources from NHI Mgmt Group

• Why do long-lived data and credentials increase quantum risk?
• Why do long-lived application tokens increase enterprise breach risk?
• Why do service accounts or embedded credentials increase risk in AI control planes?
• Why do shared devices and external partners increase hospital identity risk?