Medical Device CBOM Platform for Vulnerability Patching
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Solution Overview
Problem
There is a need for a system that streamlines and automates the process of generating a cybersecurity bill of materials (CBOM) for medical devices, tracks vulnerabilities, and facilitates software updates to manage cybersecurity risks effectively, addressing issues such as hardware manipulation, software exploits, and patient safety concerns.
Innovation Solution
A system that includes a processor and programming instructions to generate a CBOM, evaluate vulnerabilities using a vulnerability database, provide notifications, and automatically deploy patches to medical devices, utilizing a graphical user interface for management and user interaction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional remote scanners are used to update medical devices, then software updates can be delivered, but device operation is interrupted and patient safety is compromised
Solution Approach 1:
The system performs vulnerability assessments and prepares patches in advance before the device is actually used. The CBOM is generated and vulnerabilities are identified beforehand, allowing patches to be ready and applied during maintenance windows rather than interrupting active device operation.
Solution Approach 2:
The system introduces an intermediary CBOM layer that acts as a buffer between the vulnerability database and the medical device. This intermediary structure allows vulnerability information to be evaluated and patches to be prepared without directly interrupting device operation, enabling safer update deployment.
2Reliability
If comprehensive vulnerability evaluation is performed on all medical devices, then security risks are reduced, but time and computational resources are consumed
Solution Approach 1:
The system segments the vulnerability evaluation process into distinct components: generating CBOM for each device, evaluating against vulnerability database, and prioritizing based on risk levels. This segmentation allows for efficient processing of multiple devices by handling them in manageable units rather than as a monolithic task.
Solution Approach 2:
The system performs vulnerability evaluation on a selective basis rather than uniformly on all devices. By prioritizing devices based on risk assessment and updating the CBOM dynamically, the system focuses computational resources on the most critical vulnerabilities and devices, reducing overall time and resource consumption while maintaining effective security coverage.
3Measurement precision
If manual tracking of software components is performed, then CBOM can be generated, but the process is time-consuming and error-prone
Solution Approach 1:
The system enables automatic self-service generation of CBOM by having medical devices report their own software and hardware components to the platform. This eliminates the need for manual tracking and data entry, significantly improving productivity while maintaining accuracy through automated data collection and verification processes.
Solution Approach 2:
The system replaces manual mechanical processes of tracking and documenting software components with automated electronic data collection and processing. The automated CBOM generation system substitutes human operators with computational processes, improving both speed and accuracy of CBOM creation.
Data Source
AI summary
Systems and methods for the management of cybersecurity risks for medical devices are disclosed. A system may streamline and automate the process of generating a cybersecurity bill of materials and evaluate it against the National Vulnerability Database or a similar source.Furthermore, the system may provide a secure platform for data to be transferred between medical device manufacturers and healthcare delivery organizations allowing for the notification of security vulnerabilities and the transferal of security updates.