Communication Map Updates for Real-Time Network Validation
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Solution Overview
Problem
Modern computing systems face inefficiencies due to validation errors that occur as network operations pass through multiple systems, wasting computational resources and increasing downtime, while existing manual review methods are infeasible for real-time detection.
Innovation Solution
A system that validates each network operation at each software application within a conglomerate-application-based ecosystem, using an anomaly evaluation platform that generates communication maps and employs AI models to detect and mitigate validation anomalies in real-time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual review methods are used to detect validation errors, then detection accuracy can be maintained, but real-time detection becomes infeasible and system downtime increases
Solution Approach 1:
The patent replaces manual review methods with an automated anomaly evaluation platform that uses AI models and communication maps to detect validation errors. This substitution of mechanical/manual processes with automated systems enables real-time detection while maintaining detection accuracy, directly resolving the contradiction between detection precision and response time.
2Device complexity
If network operations are validated only at the end of execution, then system complexity remains low, but computational resources are wasted processing invalid operations
Solution Approach 1:
The patent implements validation checks at each software application in the network operation chain, performing validation actions before operations complete execution. This preliminary validation prevents invalid operations from propagating through the system, reducing computational resource waste while the modular approach keeps system complexity manageable.
Solution Approach 2:
The patent introduces communication maps as intermediary structures that track and validate data transformations between software applications. These maps serve as mediators that enable efficient validation without requiring complex end-to-end verification, reducing both computational waste and validation complexity.
3Loss of energy
If validation is performed at each software application in the network chain, then computational resource waste is reduced, but system complexity and implementation difficulty increase
Solution Approach 1:
The patent creates a universal anomaly evaluation platform that can be deployed across multiple software applications in the network chain. This platform performs multiple functions including anomaly detection, communication map generation, and validation, reducing the need for separate validation mechanisms at each application and thereby managing system complexity while maintaining resource efficiency.
4Measurement precision
If communication maps are automatically updated with validation rules, then validation accuracy improves, but processing time and computational overhead increase
Solution Approach 1:
The patent implements automatic updating of communication maps with validation rules, allowing the system to self-maintain and self-update its validation knowledge base. This self-service approach enables the system to improve validation accuracy through automatic rule incorporation without requiring manual intervention, while the automation itself manages the processing time overhead.
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.


