Cybersecurity engineers
Security architecture, threat modelling, secure development, verification and supported-lifetime governance.
Security engineering within medical-device safety and lifecycle governance.
Downloadable field guides
Security architecture, threat modelling, secure development, verification and supported-lifetime governance.
Articles
How dependencies, trust boundaries and compromised networks should shape threat modelling and penetration testing for connected medical devices.
How stale data, incorrect units, patient mismatches and misleading displays can produce plausible but wrong outputs—and how to detect and control these quiet failures.
Why successful medical software requires evidence for the complete clinical product and workflow—not only the performance of its algorithm.
A playful but serious reflection on AI as assistant, reviewer and decision-maker—and why fluent answers still need evidence, judgement and accountability.
AI changes the speed and economics of medical-device development, but it does not remove the need for product definition, objective evidence, competent review or manufacturer accountability.
Why outsourcing medical-device development increases the need for intelligent manufacturer oversight—and what must be controlled before an audit or submission exposes the gaps.
Why absence of commercial registration does not automatically prevent a digital health technology from being used in a clinical trial—and the questions sponsors should ask instead.
How to integrate cybersecurity governance and evidence across the complete medical-device lifecycle.