Communication Map Updates for Real-Time Network Validation
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Solution Overview
Problem
Modern computing systems face inefficiencies in detecting and addressing network operation validation anomalies in conglomerate-application-based ecosystems, leading to wasted computational resources due to delayed and manual error detection, lack of real-time information, and inadequate compliance with dynamic regulatory standards.
Innovation Solution
A system that dynamically monitors and updates communication maps using AI models to detect and remediate validation failures in real-time, by generating validation statuses and preventing error-prone operations from propagating through the system, and automatically adapting validation rules to regulatory changes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If validation occurs as a last step before execution, then system complexity is reduced and processing is simpler, but computational resources are wasted processing error-prone messages through multiple systems
Solution Approach 1:
The patent applies preliminary action by performing validation before execution. Specifically, the system validates network operations at intermediate points (gateways, edge devices, cloud systems) before they are fully processed or executed. This prevents error-prone messages from propagating through the entire system, thereby reducing wasted computational resources while maintaining manageable validation complexity through distributed validation points.
2Device complexity
If manual validation processes are used, then system complexity is reduced and easier to implement, but detection time increases and real-time compliance is compromised
Solution Approach 1:
The patent applies self-service by enabling systems to validate themselves automatically. The validation system autonomously monitors network operations, detects anomalies, and ensures compliance with regulatory standards without requiring manual intervention. This real-time self-validation reduces error detection time while managing complexity through automated decision-making algorithms and rule-based systems.
Solution Approach 2:
The patent implements feedback mechanisms where validation results are immediately fed back into the system. When validation failures are detected, the system receives feedback and takes corrective actions or blocks erroneous operations. This closed-loop feedback enables real-time compliance monitoring and rapid error detection, reducing the time loss associated with manual validation processes.
3Device complexity
If validation rules are static, then system simplicity is maintained and easier to manage, but adaptability to dynamic regulatory standards decreases
Solution Approach 1:
The patent applies dynamics by making validation rules adaptable and flexible rather than static. The system dynamically updates validation criteria in response to changing regulatory standards and operational requirements. This enables the validation mechanism to maintain compliance with evolving regulations while managing complexity through automated rule updates and configurable validation parameters that can be adjusted without system reconfiguration.
Data Source
AI summary
Systems and methods for automatically updating validation rules used to detect and remediate network operation validation anomalies in conglomerate-application-based ecosystems are disclosed. The disclosed anomaly evaluation platform can dynamically monitor a set of document repositories containing specific guidelines for generating validation reports. In response to detecting updates in the guidelines, the anomaly evaluation platform retrieves a communication map defining parent-child relationships between validation rules and generates an updated communication map. The anomaly evaluation platform detects a transmission of a first network operation to a software application, which uses the first network operation to generate a second network operation. The anomaly evaluation platform provides the first network operation, the second network operation, and the updated communication map to an artificial intelligence model to generate a validation report that meets the specific criteria guidelines.