Network Change Risk Scoring and Countermeasure
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Solution Overview
Problem
Enterprises face challenges in detecting and analyzing operational risk in network environments, particularly when implementing changes to network applications, which can lead to potential failures and outages due to unassessed logistical, technological, and personnel risks.
Innovation Solution
A system and method that utilize an operational risk module to calculate a change risk score, incorporating service tier, time, security, and mobile device risk scores, and implementing countermeasures if the score reaches a high-risk level, to preemptively manage and mitigate potential operational failures.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If changes are made to network applications to improve functionality and service, then productivity and adaptability are improved, but operational risk and potential network failures increase
Solution Approach 1:
The system performs preliminary risk assessment and simulation before implementing changes to network applications. It calculates change risk scores based on multiple factors (service tier, time, day, security, mobile device) and simulates potential impacts on network devices before the actual change is deployed, allowing preventive measures to be taken in advance
Solution Approach 2:
The system implements continuous feedback loops by monitoring network device performance metrics before, during, and after changes are implemented. The feedback mechanism includes real-time monitoring of transaction volumes, error rates, and other performance indicators that trigger alerts or countermeasures when thresholds are breached
2Reliability
If comprehensive risk assessment is performed to improve reliability, then operational risk is reduced, but time consumption and process complexity increase
Solution Approach 1:
The risk assessment process is segmented into multiple independent components: service tier analysis, time-based risk evaluation, day-of-week analysis, security risk assessment, and mobile device risk evaluation. Each component can be processed independently and contributes to the overall change risk score, enabling parallel processing and reducing total assessment time
Solution Approach 2:
The system uses predefined risk thresholds and scoring parameters to rapidly evaluate changes. By transforming complex risk assessment into quantitative parameter comparisons (risk scores against thresholds), the system enables fast automated decisions without requiring complex manual analysis for each change
3Reliability
If monitoring and simulation of network changes are implemented to prevent failures, then reliability is improved, but device complexity and system resources increase
Solution Approach 1:
The risk assessment system serves multiple functions: it evaluates change requests, simulates network impacts, monitors real-time performance, triggers alerts, and implements countermeasures. By consolidating these functions into a single integrated platform, the system avoids the complexity of multiple separate tools and processes
Solution Approach 2:
The system performs self-monitoring and self-diagnosis by automatically collecting performance metrics from network devices, analyzing them against predefined thresholds, and triggering appropriate responses without requiring continuous human intervention. This automation reduces the operational complexity of maintaining the monitoring system
Data Source
AI summary
In one embodiment, a system for the realization of operational risk in a network includes an interface to receive a change request to update a network application, the network application utilizes a network device. The system may then use a processor communicatively coupled to the interface to generate a change risk score associated with the change request, wherein the change risk score includes a service tier risk score, a time risk score, a day risk score, a security risk score, and a mobile device risk score. The processor may determine whether the change risk score is within a high-risk level, and if so, implement a change counter measure.