Parallel Search Architecture for Scalable Security Compliance Queries

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Solution Overview

Problem

Existing systems for proving compliance with information security standards are burdensome, time-intensive, error-prone, and fail to scale efficiently, especially when dealing with a large number of standards.

Innovation Solution

A computer-implemented method using machine learning to augment incomplete query-embedded digital artifacts through parallel search engines, sentence transformers, and language generative models to efficiently retrieve and construct relevant digital artifacts and responses, enhancing compliance management.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If traditional manual compliance verification processes are used, then thorough evaluation of security standards can be achieved, but the process becomes time-intensive and fails to scale efficiently

Engineering Contradiction:

Improvecompliance evaluation accuracyVSAvoidcompliance verification time

Core Design Contradiction:

Measurement precisionVSLoss of time

Solution Approach 1:

The patent replaces manual mechanical review processes with machine learning-based automated systems. Sentence transformer models and language generative models automatically evaluate compliance documentation, extracting relevant information and generating compliance assessments without human intervention, thereby maintaining accuracy while dramatically reducing time consumption

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The patent introduces parallel search engines as intermediary components that bridge the gap between compliance requirements and documentation. These search engines efficiently retrieve relevant digital artifacts from large corpora, enabling the ML models to focus on evaluation rather than information gathering, thus improving both speed and accuracy

Inventive Principle:

Principle #24Intermediary (Mediator)

2Adaptability or versatility

If comprehensive documentation is collected for multiple security standards, then complete compliance coverage is achieved, but the complexity and resource requirements increase significantly

Engineering Contradiction:

Improvecompliance standards coverageVSAvoidcompliance management system complexity

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The patent creates a universal compliance management system that handles multiple security standards through a single platform. The parallel search engines and ML models are designed to work across different standards (SOC 2, ISO 27001, etc.) using the same underlying technology, reducing system complexity while maintaining broad adaptability

Inventive Principle:

Principle #6Universality (Multi-functionality)

Solution Approach 2:

The patent segments the compliance evaluation process into distinct modular components: parallel search engines for information retrieval, sentence transformer models for semantic understanding, and language generative models for report generation. This segmentation allows each component to be optimized independently while working together to handle multiple standards

Inventive Principle:

Principle #1Segmentation

3Manufacturing precision

If manual compliance documentation processes are used, then detailed review can be performed, but human error increases and scalability decreases

Engineering Contradiction:

Improvedocumentation accuracyVSAvoidcompliance processing throughput

Core Design Contradiction:

Manufacturing precisionVSProductivity

Solution Approach 1:

The patent replaces human manual review with automated machine learning systems that eliminate human error. The sentence transformer models and language generative models consistently apply compliance criteria without fatigue or distraction, maintaining high accuracy while enabling parallel processing of multiple compliance assessments simultaneously

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The patent performs preliminary actions by using parallel search engines to retrieve and pre-process compliance documentation before the main evaluation. This preliminary information gathering and organization reduces the workload on subsequent ML models, improving both accuracy and processing throughput

Inventive Principle:

Principle #10Preliminary action

Data Source

PatentUS12511300B1Systems and methods implementing a parallel search architecture for machine learning-based acceleration of data security, data security architectures, and data security compliance activities

Publication Date: 2025.12.30 SECUREFRAME INC

AI summary

Systems and methods for machine learning-informed response and augmentation of incomplete queries and query artifacts that include executing parallel search engines in a machine learning pipeline based on an input of a query to retrieve one or more corpora of candidate digital artifacts, constructing a merged corpus of candidate digital artifacts based on the retrieved corpora of digital artifacts, ranking each candidate digital artifact of the merged corpus of candidate digital artifacts based on a computed relevance to the input query, and returning, via a user interface, a response to the input query based on a subset of prioritized candidate digital artifacts most relevant to the input query.