Temporal Cause Analysis for Cybersecurity Root Cause Detection

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Solution Overview

Problem

Pinpointing sources of cybersecurity threats in modern computing environments is challenging due to their complexity, necessitating improved methods for prompt identification and mitigation of cyber threats.

Innovation Solution

A method involving the creation of time series pairs, determination of temporal relationships, and identification of root causes of cybersecurity events using dynamic time warping to establish causal relationships between time series, enabling automated and objective analysis.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If manual analysis of cybersecurity events is used, then accuracy in identifying root causes may be maintained, but time consumption and productivity are reduced

Engineering Contradiction:

Improvespeed of cyber threat identificationVSAvoidcomplexity of computing environment

Core Design Contradiction:

ProductivityVSDevice complexity

Solution Approach 1:

The patent replaces manual mechanical analysis of cybersecurity events with an automated computer-based system. The system automatically collects data from multiple sources, processes time series data, identifies temporal relationships, and determines root causes without human intervention, thereby increasing productivity while handling system complexity

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The system performs self-service by automatically analyzing its own data to identify security incidents and root causes. The automated process monitors itself, detects anomalies, and generates remediation recommendations without requiring external manual analysis, enabling rapid response to security threats

Inventive Principle:

Principle #25Self-service

2Productivity

If automated analysis systems are deployed, then productivity is improved, but measurement precision and reliability of root cause identification may deteriorate

Engineering Contradiction:

Improvespeed of cyber threat identificationVSAvoidaccuracy of root cause identification

Core Design Contradiction:

ProductivityVSMeasurement precision

Solution Approach 1:

The system incorporates feedback mechanisms where detected security incidents and identified root causes are used to refine future analyses. The system learns from previous detections and adjusts its analysis parameters, improving measurement precision over time while maintaining high productivity through automation

Inventive Principle:

Principle #23Feedback

Solution Approach 2:

The system performs preliminary data collection, processing, and pattern recognition before final root cause determination. By pre-processing time series data and identifying temporal relationships in advance, the system ensures accurate root cause identification when security incidents occur, maintaining both speed and precision

Inventive Principle:

Principle #10Preliminary action

3Reliability

If comprehensive data collection from multiple sources is implemented, then reliability of analysis is improved, but device complexity and difficulty of detecting relationships increase

Engineering Contradiction:

Improveconfidence in root cause determinationVSAvoiddifficulty of identifying temporal relationships

Core Design Contradiction:

ReliabilityVSDifficulty of detecting and measuring

Solution Approach 1:

The patent segments the complex data collection and analysis process into distinct manageable components: data collection from multiple sources, time series processing, temporal relationship identification, and root cause determination. This segmentation reduces the difficulty of detecting relationships by breaking down the complex task into sequential, manageable steps

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The system changes parameters such as time windows, data sampling rates, and analysis thresholds to optimize detection of temporal relationships. By dynamically adjusting these parameters based on the data and security context, the system maintains high reliability while reducing the difficulty of identifying relationships between security events

Inventive Principle:

Principle #35Parameter changes

Data Source

PatentUS12613958B2Temporal cause analysis of cybersecurity events

Publication Date: 2026.04.28 WIZ INC

AI summary

A system and method for temporal cause analysis of cybersecurity events. A method includes: creating a plurality of time series pairs for a computing environment, wherein each time series pair includes a first time series and a second time series, wherein each time series includes a series of data points arranged by time; determining a temporal relationship for at least one first time series pair of the plurality of time series pairs based on the series of data points of each time series of each of the plurality of time series pairs; identifying a root cause of a cyber event based on the temporal relationship of the at least one first time series pair; and remediating the cyber event based on the identified root cause.