Evidence Cross-Mapping Across Compliance Framework Requirements
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Solution Overview
Problem
Current compliance monitoring techniques rely on manual, siloed, and static audits, leading to inefficiencies, inaccuracies, and excessive overhead due to the duplication of efforts across multiple frameworks, which limits effective risk management and continuous control monitoring.
Innovation Solution
A method and system for cross-mapping evidence data using a multi-layer data architecture with a centralized requirement layer that maps evidence to multiple frameworks, enabling near real-time compliance analysis and reducing redundant evaluations by leveraging universal requirements shared across frameworks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual, siloed compliance auditing is performed for each framework separately, then compliance requirements can be addressed, but significant duplication of effort occurs and excessive overhead is generated
Solution Approach 1:
The patent creates a universal compliance framework that maps controls across multiple frameworks (SOC 2, HIPAA, PCI DSS, ISO 27001, GDPR) to a common set of domains and requirements. This allows a single evidence artifact to satisfy multiple framework requirements simultaneously, eliminating siloed auditing while maintaining comprehensive compliance coverage across all frameworks.
Solution Approach 2:
The patent merges multiple framework-specific compliance audits into a unified continuous monitoring system. By combining evidence collection, normalization, and evaluation across SOC 2, HIPAA, PCI DSS, ISO 27001, and GDPR into a single system that operates continuously rather than through separate periodic audits, the patent eliminates duplication while maintaining comprehensive compliance verification.
2Measurement precision
If periodic, static audits are conducted at fixed events, then compliance can be validated at those moments, but continuous control monitoring is limited and risk management is ineffective
Solution Approach 1:
The patent transforms static, periodic compliance audits into a dynamic continuous monitoring system. The system continuously collects evidence artifacts, normalizes them against framework requirements, and updates compliance status in real-time, allowing compliance to be measured dynamically rather than at fixed intervals and enabling timely risk response.
Solution Approach 2:
The patent implements continuous evidence collection and compliance evaluation rather than periodic audits. The system continuously monitors control effectiveness by continuously gathering evidence artifacts, normalizing them, and evaluating compliance status, ensuring uninterrupted compliance verification and immediate detection of control failures.
3Adaptability or versatility
If multiple frameworks are adopted due to business expansion, then compliance coverage increases, but siloed processes lead to excessive overhead and duplication of effort
Solution Approach 1:
The patent creates a universal compliance framework that maps controls across multiple frameworks (SOC 2, HIPAA, PCI DSS, ISO 27001, GDPR) to a common set of domains and requirements. This allows a single evidence artifact to satisfy multiple framework requirements simultaneously, eliminating siloed auditing while maintaining comprehensive compliance coverage across all frameworks.
Data Source
AI summary
A system and method for cross mapping an evidence data for risk management is provided. The method includes identifying a matching requirement for a first data element of the evidence data by matching the first data element to a requirement in a centralized requirement layer of a multi-layer data architecture; mapping the matching requirement to at least one control in more than one framework of a plurality of frameworks according to the multi-layer data architecture, wherein the centralized requirement layer of the multi-layer data architecture has a plurality of requirements that each represent a criterion and are shared across the plurality of frameworks; and determining, based on the mapping, a control state for the at least one control in more than one framework of the plurality of frameworks in response to the evidence data.