Immutable Data Block Logging for Compliance Auditing
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional systems for building and deploying cybersecurity, fraud, and risk models face challenges in ensuring data provenance and compliance with regulatory requirements, leading to manual reporting delays and errors due to the lack of automated tracking of data collection, access, and processing.
Innovation Solution
A block-based system with modules for logging data collection and access, and ensuring compliance with rules, utilizing blockchain or centralized ledgers to provide an immutable record of data provenance and usage, enabling automated verification and reporting.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If manual reporting methods are used for data custody and compliance tracking, then system complexity is reduced, but time delays and errors increase
Solution Approach 1:
The system performs preliminary actions by automatically logging and recording data custody information at the point of data collection and processing. This preliminary automated documentation eliminates the need for subsequent manual reporting efforts, reducing time delays while the automation infrastructure manages the increased complexity.
Solution Approach 2:
An intermediary automated logging system is introduced between data processing operations and compliance reporting requirements. This intermediary continuously captures and records custody information, acting as a bridge that eliminates manual reporting steps while managing the complexity through standardized automated processes.
2Reliability
If manual updates are performed for compliance documentation, then automation complexity is reduced, but reliability and accuracy decrease
Solution Approach 1:
The compliance documentation system performs self-service by automatically updating itself with custody information from data processing operations. The system monitors its own state and maintains accurate compliance records without external manual intervention, significantly improving reliability while the automation handles the complexity of continuous self-monitoring and updating.
Solution Approach 2:
A feedback mechanism is implemented where the automated system continuously monitors data processing activities and immediately updates compliance documentation with accurate custody information. This real-time feedback loop ensures documentation reliability by continuously reflecting the actual system state, with automation managing the complexity of continuous monitoring and updating.
3Measurement precision
If comprehensive data tracking is implemented, then compliance accuracy is improved, but system complexity increases
Solution Approach 1:
The comprehensive tracking system is segmented into modular logging components that capture specific custody events (collection, processing, access) at their respective points. Each segment handles a discrete aspect of data provenance, improving tracking accuracy through detailed granular recording while reducing overall complexity by breaking down the comprehensive tracking function into manageable independent modules.
Solution Approach 2:
The system adds another dimension to data tracking by implementing automated logging that operates parallel to data processing operations. This dimensional addition captures custody information in the time and metadata dimensions without interfering with primary data processing, improving provenance tracking accuracy while managing complexity through parallel independent tracking operations.
4Productivity
If automated logging systems are deployed, then productivity is improved, but device complexity increases
Solution Approach 1:
The automated logging system merges compliance tracking functionality with existing data processing operations. By combining custody logging with data collection and processing workflows, the system improves productivity by eliminating separate manual reporting steps while managing complexity through integrated unified operations rather than separate independent systems.
Solution Approach 2:
The logging system is designed with universal multi-functionality, serving multiple compliance and auditing purposes through a single automated infrastructure. This multi-functional approach improves productivity by addressing various compliance requirements simultaneously while managing complexity through a unified versatile system rather than multiple specialized systems.
Data Source
AI summary
Systems and methods for recording information at a granular level; checking and verifying that data is used and processed is consistent with an entity's internal policies and/or external regulations; and producing reports to authorized users (e.g., individuals and organizations) with information are provided. The system and methods capture required data in an immutable fashion so that users outside of an entity (e.g., public, third parties) can check and audit that internal policies and other regulatory policies and frameworks are followed.