Medical device cyber-security requirements are the technical and operational rules that hospitals and manufacturers must follow to keep connected clinical equipment safe. These requirements cover design controls, software transparency, vulnerability handling, network protection, and day-to-day hospital operations across the full device life cycle.
If an attacker gains control of a device or the network around it, patient safety, clinical data, and service availability can be compromised.
What does medical device cyber-security apply to?
Medical device cybersecurity applies to hardware, software, and network services that collect, process, store, or transmit clinical data. This includes imaging systems, monitors, infusion devices, laboratory analysers, surgical robots, and connected clinical applications. Many of these systems form part of the Internet of Medical Things. They stay in service for many years and connect to hospital networks, cloud services, and remote support tools.
A cyber incident can block access to imaging or electronic records. A weak password can open a path into the wider clinical network. An unpatched operating system can let malware move from a non-clinical system to a care-critical device. Hospitals and manufacturers should treat cybersecurity as a patient safety control, in addition to a purely IT challenge.
What are the biggest cyber-security challenges?
In recent years, regulators have made cybersecurity a formal part of device approval and post-market duty. In the United States, the Food and Drug Administration expects manufacturers of cyber devices to show reasonable assurance that the device and related systems remain secure. It also requires a software bill of materials so buyers and regulators can see the software components in a device. In June 2025, the FDA issued updated final guidance on quality system considerations and cyber-security content for premarket submissions.
In Europe, the Medical Device Regulation and the In Vitro Diagnostic Regulation require manufacturers to design devices against unauthorised access and to keep safety and performance across the life cycle. Guidance from the Medical Device Coordination Group explains how manufacturers must apply risk management and current security measures. EN IEC 81001-5-1 is now the main European reference for the secure development life cycle of health software.
How does AI increase threat-actor activity against medical devices?
Threat actors now use artificial intelligence to raise the speed and scale of attacks on healthcare networks and connected medical devices. AI tools help attackers write phishing messages that look like normal clinical or vendor email. These messages can trick staff into the release of credentials that open a path to device management systems. AI also helps attackers scan large networks faster, identify exposed services and match known weaknesses to device types that still run outdated software.
AI can generate malware variants that change form often enough to reduce the value of simple signature checks. Attackers can also use AI to study public technical data, security advisories, and software bills of materials, then target devices that share the same components. In a hospital setting, weak remote access paths or unpatched clinical systems can become the entry point for wider disruption. Ransomware groups and other criminal actors can automate reconnaissance, social engineering, and parts of exploit development then keep human effort for the final stages of the attack.
Why do hospitals remain particularly exposed?
Many clinical devices still use default passwords. Many still run operating systems that the vendor no longer supports. Asset lists are often incomplete, so security teams cannot see every connected device. Clinical engineering and information technology teams sometimes hold separate records.
Hospitals often keep older equipment in service because replacement costs are so high. Older equipment can remain safe only when the organisation knows its network location, software, and compensating controls. Without this knowledge patch plans and incident response plans can be incomplete or ineffective.
What does effective protection really look like?
Effective medical device cyber-security combines manufacturers with hospital operations. Manufacturers must use secure design, threat modelling, verified updates, coordinated vulnerability disclosure, and clear labelling for safe installation and maintenance. Hospitals must discover every connected clinical asset, classify it by clinical function and risk, and keep that inventory current.
Network segmentation should separate clinical devices from general office systems. Access control should remove shared and default credentials. Monitoring needs to detect unusual device behaviour early. Change control must cover firmware and configuration updates with the same discipline used for other safety-critical systems.
Service management platforms that give one source of truth for device identity, status, risk, and ownership help teams act from the same source of truth. Information security owns threat detection and vendors own patches.
How does Service Dynamics support cybersecurity on medical devices?
Service Dynamics helps New Zealand healthcare organisations improve visibility and control across connected clinical systems with platforms such as Ivanti Neurons for Healthcare. Teams can discover medical devices as they join the network, identify vendor and model data, review usage, and receive risk guidance without aggressive scanning. This operational view supports safer patch decisions and enables a faster response when a threat appears.
Organisations that have a comprehensive inventory of their connected clinical estate, apply life-cycle security controls and align manufacturer and hospital duties can massively reduce the chances of a cyber-threat causing patient harm.