Medical device cybersecurity
Medical device attack surfaces are a product-design responsibility
Connected medical devices sit across users, clinical workflows, software, sensors, cloud services, mobile apps, suppliers, updates, and patient data. A risk in any part of that system can become a safety, privacy, commercial, or regulatory evidence problem.
For a regulated device, attack-surface analysis is not a generic penetration-test activity performed at the end of development. It is a design discipline that should identify critical assets, threat entry points, vulnerable data flows, supplier dependencies, misuse scenarios, and the control measures needed to maintain clinical safety and trust.
Where the attack surface starts
A medical device attack surface begins with the device itself: firmware, sensors, communication interfaces, local storage, the user interface, update mechanisms, and software components. It then expands into the surrounding ecosystem. A mobile app may introduce weak pairing, insecure credential storage, or untrusted client behaviour. A cloud API may expose authentication, logging, data retention, or update-distribution risks. A hospital network may add segmentation, monitoring, and incident-response expectations.
Supplier software is another critical entry point. Open-source packages, third-party libraries, operating system components, and update services can introduce vulnerabilities that the manufacturer still needs to understand, document, monitor, and patch. This is why SBOMs and post-market vulnerability management are now central to medical device cybersecurity discussions.
Why this becomes a safety and privacy issue
Cybersecurity is not separate from safety when a device affects diagnosis, therapy, monitoring, alarms, clinical workflow, or patient data. A successful attack can interrupt availability, alter data, mislead a user, expose sensitive information, or undermine trust in clinical decision-making. Privacy is also not a paperwork exercise. Data flows, lawful basis, access control, retention, auditability, and third-party processing need to be understood at product level.
What good evidence looks like
A mature attack-surface analysis should produce evidence that can be reviewed and maintained: critical assets, trust boundaries, threats, vulnerabilities, harms, controls, verification activities, residual risk decisions, supplier dependencies, and post-market monitoring responsibilities. This evidence should connect to risk management, privacy assessment, usability engineering, software lifecycle documentation, and the final submission or buyer evidence pack.
VigilySys is designed to help teams convert this product context into traceable work packages, gap reports, mitigation drafts, and evidence outputs that remain human-reviewable.