Trusted Control Automation Platform Using Holochain Trust Engine
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Solution Overview
Problem
Manual assessment of data from various sources in business controls is error-prone and vulnerable to fraudulent activity, especially since not all data is cryptographically verified, making it difficult to ensure authenticity and security.
Innovation Solution
An end-to-end automated decision framework using a distributed network, specifically a Holochain framework, that segregates and validates data through a connector framework, trust engine, data extraction layer, automation layer, and user interface layer, employing machine learning algorithms and robotic process automation to ensure data authenticity and compliance with enterprise standards.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual assessment of data from various sources is used, then ease of operation is maintained, but reliability deteriorates due to errors and vulnerability to fraudulent activity
Solution Approach 1:
The patent replaces manual mechanical assessment processes with automated cryptographic verification systems. The trust engine automatically validates data authenticity using cryptographic proofs and digital signatures, eliminating the need for manual review while ensuring higher reliability and security against fraudulent activity.
Solution Approach 2:
The patent introduces a trust engine as an intermediary component between data sources and the control automation system. This trust engine acts as a mediator that cryptographically verifies data authenticity before processing, resolving the contradiction by providing automated reliable verification without requiring manual intervention.
2Reliability
If cryptographic verification of all data sources is implemented, then reliability improves, but device complexity increases
Solution Approach 1:
The patent segments the control automation system into distinct layers: data ingestion layer, trust engine layer, data extraction layer, and control automation layer. Each layer has specific responsibilities, with the trust engine layer handling cryptographic verification. This segmentation manages complexity by localizing verification functions to a dedicated component rather than distributing complexity throughout the entire system.
Solution Approach 2:
The patent implements preliminary cryptographic verification through the trust engine before data enters the main processing pipeline. By performing verification upfront and filtering out unverified data early, the system avoids the complexity of continuous verification throughout subsequent processing stages, maintaining reliability while managing overall system complexity.
3Productivity
If automated data extraction with cryptographic verification is used, then productivity increases, but loss of information increases due to strict validation filters
Solution Approach 1:
The patent implements feedback mechanisms where the trust engine and data extraction layer continuously monitor verification results and adjust extraction parameters. When legitimate data patterns are identified as potentially failing verification, the system learns from these cases and refines its validation criteria, ensuring that productivity gains do not come at the cost of rejecting valid information.
Data Source
AI summary
Systems, methods and apparatus are provided for an end to end control automation workflow using a distributed network. The data segregation layer may assimilate data from a variety of enterprise sources. A trust engine may validate the data from enterprise sources against enterprise security standards. The system may use a distributed network to validate the data from the various sources and populate a distributed hash table. The distributed network may be a Holochain® framework. The system may include an automation layer that uses robotic processing automation scripts to validate data against a system of record and flag exceptions. The automation layer may provide data to a user interface layer. The user interface may include an interactive dashboard for presenting a range of detailed reports.