AI Compliance Mapping for Dynamic Security Control Evaluation
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Solution Overview
Problem
Existing compliance mapping methods are inefficient, labor-intensive, prone to errors, lack scalability, and struggle to adapt to dynamic regulatory standards, leading to increased operational risks and resource burdens.
Innovation Solution
An AI-driven system that automates compliance mapping by processing regulatory guidance and documentation to generate tailored mapping instructions for security controls, using smaller language models and scalable storage, and integrating security measures to protect sensitive data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional manual compliance mapping methods are used, then detailed analysis and customization can be achieved, but the process becomes labor-intensive and inefficient
Solution Approach 1:
The system enables self-service compliance mapping by automatically generating mappings between security controls and regulatory requirements without manual intervention. The AI model processes regulatory documentation and system artifacts autonomously, creating compliance mappings that would traditionally require extensive manual analysis and customization effort.
Solution Approach 2:
The patent replaces manual mechanical processes with an AI-driven automated system. Large language models and natural language processing substitute for human analysts who would traditionally read, interpret, and map compliance requirements, dramatically improving efficiency while reducing time loss.
2Reliability
If comprehensive compliance analysis is performed manually, then accuracy can be maintained, but resource burden increases significantly
Solution Approach 1:
The AI system provides universal compliance mapping capabilities that can handle multiple regulatory frameworks and security control types simultaneously. A single automated system serves multiple compliance assessment functions, reducing the total resources required while maintaining comprehensive analysis and accuracy across diverse compliance requirements.
Solution Approach 2:
The system uses language modeling to create accurate representations and mappings of compliance relationships without requiring physical manual analysis of each artifact. The AI generates copies and interpretations of regulatory requirements and control implementations, enabling comprehensive assessment with reduced resource consumption.
3Adaptability or versatility
If fixed compliance mapping approaches are used, then implementation is straightforward, but adaptability to new regulatory standards is limited
Solution Approach 1:
The compliance mapping system is dynamically adaptable to new regulatory standards through AI-driven processing. When new regulations are introduced, the language model can automatically analyze the new requirements and generate appropriate mappings without requiring complex manual reconfiguration, enabling the system to evolve with changing regulatory landscapes.
Solution Approach 2:
The system adapts to regulatory changes by modifying its processing parameters and evaluation criteria rather than requiring structural reconfiguration. The AI model adjusts its understanding and mapping parameters based on new regulatory inputs, maintaining system simplicity while achieving high adaptability to diverse and evolving compliance frameworks.
Data Source
AI summary
Methods, systems, and devices for generating automated artificial intelligence (AI) compliance mappings for regulatory standards are described. In some implementations, the system may obtain regulatory guidance and documentation to extract compliance requirements and security controls. The compliance requirements and security controls may be processed to generate source control mapping guidance and implementation evaluation criteria tailored to the security controls. The system may dynamically create prompts based on the source control mapping guidance and implementation evaluation criteria, the prompts including instructions and contextual information for evaluating system artifacts. The system may evaluate the system artifacts in response to the prompts to generate compliance mappings for the security controls.