Electronic Message Routing with Regulatory Policy Validation
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Solution Overview
Problem
Current technologies fail to comply with complex legal, regulatory, and cultural expectations for data aggregation and processing, leading to erosion of public trust and the need for a system that continuously tracks and manages data transmission to ensure compliance with varying regulations and policies.
Innovation Solution
A regulation-based electronic message routing system that uses labels encapsulated in message headers to manage payload-level availability zones, ensuring compliance by applying regulatory and policy rules through a secure, ledger-bound data store and distributed routers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional routing systems are used, then network communication speed and simplicity are maintained, but compliance with complex legal and regulatory requirements cannot be ensured
Solution Approach 1:
The patent segments the routing decision-making process into multiple components: payload analysis module that extracts regulatory indicators from message content, rules engine that evaluates compliance requirements, and routing module that selects appropriate paths. This segmentation allows the system to handle regulatory complexity in a structured way without overwhelming the entire routing system.
Solution Approach 2:
The patent introduces an intermediary rules engine that acts as a mediator between the payload analysis module and the routing module. This rules engine contains the regulatory logic and compliance rules, separating the complexity of regulatory requirements from the core routing functionality. The intermediary processes compliance checks and translates regulatory requirements into routing decisions.
2Measurement precision
If payload-level regulatory control is implemented, then compliance accuracy is improved, but processing time and system complexity increase
Solution Approach 1:
The patent implements preliminary action by pre-configuring regulatory rules and compliance criteria in the rules engine before runtime. The system pre-identifies regulatory indicators in payloads and pre-determines compliance requirements, so that during actual message routing, the system only needs to evaluate pre-processed information against stored rules, significantly reducing real-time processing time.
Solution Approach 2:
The patent changes parameters by analyzing different aspects of the payload depending on the message type and regulatory context. The payload analysis module dynamically adjusts which parameters to extract and evaluate based on message characteristics, focusing computational resources on the most relevant compliance indicators rather than uniformly processing all payload elements.
3Reliability
If continuous regulatory tracking is implemented, then compliance reliability is improved, but computational resource consumption increases
Solution Approach 1:
The patent implements self-service by enabling the routing system to automatically update its knowledge of regulatory requirements through the continuous regulatory tracking module. The system autonomously monitors regulatory changes, updates the rules engine, and adjusts routing decisions without requiring external intervention or manual configuration, maintaining reliable compliance monitoring while optimizing resource usage through automated processes.
Solution Approach 2:
The patent employs periodic action by implementing continuous regulatory tracking that operates at strategically determined intervals rather than constantly analyzing every message against all possible regulations. The system periodically updates regulatory knowledge bases and applies compliance checks at key decision points in the routing process, maintaining monitoring reliability while reducing unnecessary computational overhead during steady-state operation.
Data Source
AI summary
A system for regulation-based electronic message routing using an expanded open system interconnection (“OSI”) model. Information regulations and information policy rules comprise three additional layers beyond the standard seven-layer OSI model from a data store. Electronic messages are routed using a handling policy rule generator to validate destination, storage, and transport.