Compliance Evidence Packages for Deficient Operational Data
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Solution Overview
Problem
Regulated entities face challenges in demonstrating compliance with dynamic compliance standards due to unpredictable changes in operational data, such as security vulnerabilities altering asset functionality, leading to insufficient primary evidence.
Innovation Solution
A compliance standard system that identifies a second evidentiary package with different parameters to substantiate compliance when primary operational data is deficient, utilizing machine-readable instructions and neural networks to analyze operational data from various assets and regional authorities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If primary operational data is used to substantiate compliance, then compliance assessment is straightforward, but the data may be deficient due to unpredictable changes in operational conditions
Solution Approach 1:
The system pre-identifies multiple evidentiary packages with different parameters before compliance assessment is needed. When primary data proves deficient, the system can immediately substitute with pre-prepared alternative evidence packages, avoiding delays and ensuring continuous reliable compliance assessment.
Solution Approach 2:
The system changes the parameters of evidentiary packages by selecting different subsets of operational data that satisfy the same compliance standard. When primary parameters fail due to data deficiency, alternative parameters from the same or different evidentiary packages are used to substantiate compliance, maintaining assessment reliability.
2Reliability
If multiple evidentiary packages are maintained for compliance substantiation, then data deficiency can be addressed, but system complexity increases
Solution Approach 1:
The system creates evidentiary packages that can serve multiple functions and satisfy the same compliance standard through different parameter combinations. Each package is designed to be universally applicable to the compliance requirement, allowing flexible substitution without requiring entirely separate evidence chains for each scenario.
Solution Approach 2:
The system creates alternative copies of evidentiary evidence with different parameter configurations. These copies replicate the essential compliance-substantiating function of the primary evidence while using different operational data subsets, enabling substitution when primary evidence becomes deficient.
3Reliability
If alternative evidentiary packages are used when primary data is deficient, then compliance can still be substantiated, but time is required to identify and analyze secondary evidence
Solution Approach 1:
The system performs preliminary identification and organization of multiple evidentiary packages before compliance assessment is triggered. This advance preparation ensures that when primary data proves deficient, alternative evidence packages are already identified and ready for immediate analysis, minimizing time loss.
Solution Approach 2:
The system implements a dynamic evidentiary package selection process that can adaptively switch between primary and alternative evidence packages based on real-time data availability. This dynamic approach allows the system to respond efficiently to data deficiency conditions without rigid procedural delays.
Data Source
AI summary
Systems and methods for substantiating a compliance standard with secondary evidence. In one example, a method includes identifying a first evidentiary package of a set of evidentiary packages to use for substantiating whether a regulated entity meets a compliance standard. Each evidentiary package of the set of evidentiary packages defines parameters to meet the compliance standard. The method also includes analyzing a first set of operational data associated with the parameters of the first evidentiary package. In response to the first set of operational data being deficient, the method further includes identifying a second evidentiary package to use for substantiating whether the regulated entity meets the compliance standard. The method yet further includes generating an evidentiary submittal package for the regulated entity based on an analysis of the second set of operational data.


