Automated Risk Control System Using ML Mapping
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Solution Overview
Problem
Business process controls are often not integrated into system architectures from the beginning, leading to compromised automation, codification, testing, monitoring, and enforcement, with limited real-time visibility and difficulty in gathering evidence during audits.
Innovation Solution
A system utilizing machine learning and natural language processing to analyze risk mitigation text, map control components to process executable models, and execute tasks, providing real-time monitoring and audit recording, and automatically locating suitable controls for new laws and regulations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If controls are added to system architectures, then risk mitigation capability is improved, but system complexity increases
Solution Approach 1:
The patent combines control design, automation, codification, testing, monitoring, and enforcement into a single integrated system architecture. Controls are embedded directly into business processes rather than being separate add-ons, allowing the system to maintain improved risk mitigation while managing complexity through unified design.
Solution Approach 2:
The system performs multiple functions simultaneously - designing controls, automating them, codifying rules, testing effectiveness, monitoring compliance, and enforcing policies - all within a single multi-functional platform, reducing overall system complexity while comprehensive risk mitigation.
2Productivity
If automated control execution is implemented, then productivity is improved, but measurement and monitoring difficulty increases
Solution Approach 1:
The system incorporates continuous monitoring and feedback mechanisms that track automated control execution in real-time. Audit trails automatically record control performance, compliance status, and anomalies, providing full visibility into control operations without manual intervention while maintaining high productivity.
Solution Approach 2:
An intermediary monitoring layer is introduced between the automated control execution and the observation point. This layer captures control status, execution metrics, and compliance data, making measurement easy while allowing automated controls to operate independently at high speed.
3Ease of operation
If controls are designed into system architectures from the beginning, then ease of operation is improved, but device complexity increases
Solution Approach 1:
Controls are designed and integrated into the system architecture during the initial design phase rather than being added later. This preliminary action ensures controls are seamlessly embedded in business processes, making the system easier to operate while managing complexity through upfront planning and standardized frameworks.
4Measurement precision
If real-time monitoring of controls is implemented, then measurement precision is improved, but use of energy increases
Solution Approach 1:
The system implements periodic monitoring and sampling of control status rather than continuous real-time monitoring of all parameters. Audit trails are updated at appropriate intervals, providing sufficient measurement precision for compliance verification while reducing computational resource consumption and energy usage.
Data Source
AI summary
Disclosed herein are system, method, and computer program product embodiments for processing risk mitigation controls. The system analyzes text to determine control components located within the text, where the text defines one or more measures to provide assurance of compliance with organizational process requirements. The system further maps, by machine learning models, the control components to a process executable model workflow based on corresponding control code. Upon receiving a trigger, the system automatically instantiates the process model workflow and executes tasks of the control code, monitors a status of the tasks, captures an audit record of the execution and streams the audit record to an uneditable archive.