Network Resource Classification for Automated Security Intervention

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Solution Overview

Problem

Existing methods for representing and intervening in network computing environments are primitive and lack context, requiring extensive manual efforts to adjust to new data and manage interventions.

Innovation Solution

A computer-implemented method for automatically classifying resources within a network computing environment, assigning customized enabled action programs, and applying data preservation programs to enhance visibility and intervention for system integrity and security.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Loss of information

If existing primitive methods for representing network environments are used, then implementation is simple, but context information is insufficient and manual adjustment is time-consuming

Engineering Contradiction:

Improvecontext informationVSAvoidmanual adjustment time

Core Design Contradiction:

Loss of informationVSLoss of time

Solution Approach 1:

The system automatically classifies resources and generates intervention programs without requiring manual configuration. The automated resource classifier continuously monitors network resources and self-adjusts classifications based on observed behavior patterns, eliminating the need for manual intervention and time-consuming adjustments while maintaining comprehensive context information.

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The system pre-generates multiple enabled action programs and data preservation programs in advance, ready for immediate deployment. By preparing intervention strategies beforehand based on predicted resource classifications, the system eliminates manual adjustment time when security events occur while maintaining rich contextual awareness.

Inventive Principle:

Principle #10Preliminary action

2Productivity

If manual methods are used to manage interventions in network environments, then system complexity is low, but productivity is reduced due to extensive manual efforts

Engineering Contradiction:

Improveintervention management efficiencyVSAvoidsystem complexity

Core Design Contradiction:

ProductivityVSDevice complexity

Solution Approach 1:

The system replaces manual mechanical intervention with automated computational processes. An automated resource classifier using machine learning algorithms continuously analyzes network resources and generates intervention programs without human involvement, dramatically improving productivity while the modular architecture manages system complexity through standardized interfaces and pre-defined action programs.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

3Adaptability or versatility

If generic intervention programs are used, then ease of operation is high, but adaptability to specific network environments is poor

Engineering Contradiction:

Improveenvironment-specific customizationVSAvoidprogram configuration simplicity

Core Design Contradiction:

Adaptability or versatilityVSEase of operation

Solution Approach 1:

The system applies different intervention strategies tailored to specific resource types and threat contexts. The automated resource classifier analyzes local characteristics of each resource and selects or generates appropriate enabled action programs from a library, enabling environment-specific adaptability while maintaining ease of operation through automated selection rather than manual configuration.

Inventive Principle:

Principle #3Local quality

Solution Approach 2:

The system dynamically adjusts intervention program parameters based on resource classification results. By changing parameters such as intervention intensity, scope, and type according to the specific network environment and resource characteristics, the system achieves high adaptability while the automated parameter adjustment maintains operational simplicity.

Inventive Principle:

Principle #35Parameter changes

Data Source

PatentUS20260089147A1Computer implemented methods, systems comprising computer readable media, and electronic devices for resource preservation and intervention within a network computing environment

Publication Date: 2026.03.26 CLEARVECTOR INC

AI summary

A computer-implemented method for resource preservation and intervention. The method may include: enumerating a plurality of resources within a network computing environment based on data elements relating to activities and/or resources in the environment; classifying the resources under one of a plurality of pre-defined categories; based on the classification, assigning a plurality of enabled action programs to each of the resources, wherein execution of the enabled action programs causes pre-determined changes in the behavior and/or capabilities of the corresponding one of the resources; based on the classification of the resources, applying one of a plurality of data preservation programs to resources within the environment, wherein execution of the data preservation programs causes collection of corresponding pre-defined resource data; and, for each of the resources, exposing the corresponding pre-defined resource data and the assigned enabled action programs to and for use via a client device.