Resource Name Correlation for Cybersecurity Root Cause Analysis

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Solution Overview

Problem

Existing cybersecurity tools struggle to effectively identify and address root causes of cyber threats due to variations in naming conventions and formatting of computing resources, leading to increased business risk and employee burnout.

Innovation Solution

A method and system for cybersecurity root cause analysis that parses strings into structured units, normalizes them, and performs unit-by-unit comparisons using natural language processing to correlate resource names across different environments, thereby identifying the root cause of cybersecurity events.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If automated cybersecurity tools are deployed to identify and address root causes of cyber threats, then productivity increases, but measurement precision deteriorates due to variations in naming conventions and formatting of computing resources

Engineering Contradiction:

Improvespeed of identifying and addressing cyber threatsVSAvoidaccuracy of root cause identification

Core Design Contradiction:

ProductivityVSMeasurement precision

Solution Approach 1:

The patent segments resource names into structured units (e.g., environment, region, resource type, identifier) and performs unit-by-unit comparison. This segmentation allows automated tools to systematically analyze each component of resource names independently, resolving naming variations through structured parsing rather than treating entire names as single opaque strings.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The patent transforms unstructured resource names into structured parameters with defined formats and data types. By establishing predetermined structured unit formats with specific data type requirements, the system normalizes varying naming conventions into consistent parameter structures, enabling accurate automated comparison while maintaining high measurement precision.

Inventive Principle:

Principle #35Parameter changes

2Measurement precision

If manual analysis methods are used to account for naming variations, then measurement precision is maintained, but productivity decreases due to increased time and effort required

Engineering Contradiction:

Improveaccuracy of root cause identificationVSAvoidspeed of identifying and addressing cyber threats

Core Design Contradiction:

Measurement precisionVSProductivity

Solution Approach 1:

The patent implements self-service through automated parsing and correlation systems that independently handle naming variations without requiring manual intervention. The system automatically parses resource names into structured units, compares them against known formats, and identifies root causes, eliminating the need for manual analysis while maintaining precision through algorithmic consistency.

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The patent replaces manual mechanical analysis with automated computational processing. By substituting human operators with algorithmic systems that apply predetermined structured unit formats and data type validation, the system achieves both high productivity through automation and high measurement precision through consistent rule-based comparison.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

3Measurement precision

If comprehensive resource correlation is performed across all environments, then measurement precision improves for root cause identification, but device complexity increases due to multiple parsing and comparison operations

Engineering Contradiction:

Improveaccuracy of resource correlationVSAvoidcomplexity of parsing and comparison system

Core Design Contradiction:

Measurement precisionVSDevice complexity

Solution Approach 1:

The patent creates a universal parsing and comparison framework that handles multiple resource naming conventions through a single standardized system. The predetermined structured unit formats and data type definitions serve as universal templates that can parse and correlate resource names across different environments (cloud, on-premises, hybrid) without requiring environment-specific customization, thereby managing complexity through standardization.

Inventive Principle:

Principle #6Universality (Multi-functionality)

Data Source

PatentUS12519811B1Cybersecurity root cause analysis using computing resource name correlation

Publication Date: 2026.01.06 WIZ INC

AI summary

A system and method for cybersecurity root cause analysis. A method includes parsing a first string into at least one first structured unit based on predetermined structured unit formats. The first string is indicated in cybersecurity data related to a cybersecurity event. Each predetermined structured unit format is defined with respect to at least one substring each having a respective data type. Each first structured unit is compared to a corresponding second structured unit of at least one second structured unit of a second string. Each second structured unit is a portion of text of the second string identified by parsing the second string based on the predetermined structured unit formats. The first string is correlated to the second string based on the comparison. A resource corresponding to the second string is identified. A root cause of the cybersecurity event is determined based on the identified resource.