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Connected medical device Identity Module
A tested starting point for connected medical device identity module reduced repeated setup work.
We built a practical HealthTech solution combining edge behavioral monitoring, AI-powered anomaly scoring, and zero-touch patching fabric. The project delivered 92% MTTP Reduction and Zero Clinical Downtime.
Trusted by teams building ambitious products
Multi-regional hospital network with 50,000+ connected infusion pumps, monitors, and imaging systems.
Cyber-Security Architect + AI Engineer + IoT Specialist embedded within the Bio-Medical Engineering division.
Transitioning from reactive manual patching to automated, AI-powered threat detection and remediation.
A practical solution designed around the client’s existing tools, teams, and day-to-day workflow.
The hospital network managed an un-inventoryable fleet of 50,000+ Connected medical devices, many running older firmware with known CVEs. Manual patching was physically impossible and required taking critical devices offline, risking patient outcomes during high-capacity shifts.
The biggest issues were ransomware exposure, day-to-day overhead, and compliance liability. The team needed a faster, clearer way to manage the work while keeping the right checks in place.
Devices remained vulnerable for months while waiting for manual physical updates.
AI-powered automation prioritizes and deploys patches as soon as firmware is validated.
Could only detect known threats, leaving the network blind to zero-day device exploits.
Identifies Peer-Group anomalies (e.g. why is this pump talking to the public web?).
Security updates required clinical downtime, delaying scheduled procedures.
Patches are cached at the edge and introduced during validated idle cycles.
When a threat is detected, the AI assistant quarantines the device at the network level while preserving basic clinical functionality.
Federated Learning patterns ensure that device security data is shared for learning without ever moving Patient health information off-premises.
The system monitors hospital throughput to ensure security workloads never compete with critical device monitoring.
Tested foundations helped the team spend less time on setup and more time on the parts that made this product useful.
A tested starting point for connected medical device identity module reduced repeated setup work.
Reusable work for federated learning module let the team focus more time on the client’s specific needs.
This made it easier to add cyber-physical monitoring platform without rebuilding common foundations.
A tested starting point for controlled-access platform module reduced repeated setup work.
A straightforward before-and-after view of what changed for the team and their customers.
Automated patching eliminated the manual bio-medical review backlog entirely.
Behavioral analysis caught lateral-movement attempts that signature-based scanners missed.
Intelligent patch scheduling ensured zero interruptions to active surgical or monitoring sessions.
Coretus didn't just build a scanner, they built a cyber-physical immune system . For the first time, our 50,000+ medical devices are self-securing, ensuring our patients remain safe while our clinical operations remain uninterrupted.