Vulnerability Decision Automation
Use Cases: ZYLENTIX: Medical Device
[Image]
MRI imaging system illustrating cybersecurity risk assessment for connected medical devices.
Client Overview
Large German Medical Device Manufacturer for Imaging, Diagnostics and Point of Care Testing
Problem
Medical device manufacturer are forced by regulations and the actual cyber landscape to put a lot of manual effort for contextual vulnerability management to make sure that a vulnerability will not cause any patient risk.

[Image]
MRI imaging system illustrating cybersecurity risk assessment for connected medical devices.
Solution Implementation
ZYLENTIX builds a digital twin from your existing architecture, SBOMs, configuration data, and documentation. A minimal dataset is sufficient to get started, while the digital twin continuously evolves with each use. Connection via API or uploading the date by hand is sufficient.
Findings
Clear evidence based and automated vulnerability assessment, which is rely on the real product environment and shows you if a vulnerability is accessible or/and exploitable in your shipped product.
Action
& Outcome
Based on the assessment the Product Security Owner can do fast and clear decisions and to stay compliant and reduce the risk for their clients most effectively.
Results
- Automated and compliance ready CVE Assessment
- Risked focused Assessment workflow
- Quality consistent CVE evaluation