Vulnerability Decision Automation

Use Cases: ZYLENTIX: Medical Device

[Image]

MRI imaging system illustrating cybersecurity risk assessment for connected medical devices.

[1]

Client Overview

Large German Medical Device Manufacturer for Imaging, Diagnostics and Point of Care Testing

[2]

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.

[3]

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.

[4]

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. 

[5]

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.

[6]

Results

  • Automated and compliance ready CVE Assessment
  • Risked focused Assessment workflow
  • Quality consistent CVE evaluation