Multi-Platform Remediation Infrastructure with Anomaly Detection
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Solution Overview
Problem
Current procedures for maintaining enterprise organization infrastructures do not effectively group similar vulnerabilities, predict remediation times, or track anomalies that may interrupt infrastructure functionality during remediation.
Innovation Solution
A computing platform continuously monitors and analyzes enterprise organization infrastructure components to identify vulnerabilities, groups them based on similarities, determines optimal remediation times, and generates a remediation schedule, while anomaly detection ensures the schedule does not disrupt infrastructure functionality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If vulnerabilities are remediated individually as they are identified, then each vulnerability can be addressed promptly, but the infrastructure functionality may be interrupted and resources are not efficiently utilized
Solution Approach 1:
The patent groups multiple vulnerabilities into clusters based on similarities in their characteristics, affected components, and remediation requirements. This allows multiple vulnerabilities to be remediated together in a single coordinated operation rather than individually, improving resource utilization and reducing infrastructure interruptions while maintaining effective remediation of all vulnerabilities
Solution Approach 2:
The system performs preliminary analysis and grouping of vulnerabilities before remediation execution. By pre-processing vulnerabilities to identify clusters and predict remediation times, the system prepares optimized remediation schedules in advance, allowing coordinated remediation operations that minimize infrastructure disruption while addressing multiple vulnerabilities efficiently
2Productivity
If a remediation schedule is generated without grouping vulnerabilities, then remediation can proceed immediately, but resources cannot be efficiently allocated and infrastructure interruptions increase
Solution Approach 1:
Vulnerabilities are merged into groups based on shared characteristics and remediation dependencies. This grouping enables the system to process multiple vulnerabilities as unified remediation tasks, improving throughput by reducing the number of separate remediation operations while maintaining infrastructure stability through coordinated execution
Solution Approach 2:
The remediation schedule is dynamically generated based on the grouped vulnerabilities and their predicted remediation times. The system adjusts the schedule to optimize resource allocation and coordinate remediation operations, balancing high productivity with infrastructure stability by flexibly arranging remediation tasks based on group characteristics
3Ease of operation
If anomaly tracking is not implemented, then remediation can proceed without additional monitoring, but infrastructure interruptions during remediation cannot be detected or prevented
Solution Approach 1:
The system implements anomaly tracking that continuously monitors infrastructure behavior during remediation operations. When anomalies are detected, the system provides feedback to adjust or pause remediation activities, preventing infrastructure interruptions while maintaining operational simplicity through automated monitoring and response mechanisms
Data Source
AI summary
Aspects of the disclosure relate to generating a multi-platform remediation infrastructure based on intelligently forecasting and configuring a remediation schedule. The computing platform may continuously analyze components within the enterprise organization infrastructure to identify at least one vulnerability within the infrastructure. The computing platform may group the vulnerabilities based on identified similarities and may identify, for each group, a time during which each vulnerability may be remediated. The computing platform may use the times to generate a remediation schedule and may analyze the remediation schedule to determine whether the schedule comprises anomalies. Based on determining the remediation schedule does not comprise anomalies, the computing platform may remediate the vulnerabilities indicated on the remediation schedule. Alternatively, based on determining the remediation schedule comprises anomalies, the computing platform may further analyze the vulnerabilities to determine whether the vulnerabilities may be remediated.


