Digital Asset Validation Using External Test Communications

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Solution Overview

Problem

Current systems struggle to protect digital assets effectively due to rapid changes and the inability to identify potential exposures, especially in networked environments, often relying on outdated access restrictions and internal data analysis.

Innovation Solution

Implementing a method to cluster cyber credentials using similarity scores, digitally tag suspicious entities, and generate data structures for proactive and predictive cybersecurity measures, utilizing AI-based approaches to expand digital asset scope and identify cyber exposures.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If access restrictions and internal data analysis are used to protect digital assets, then current protection mechanisms can be implemented, but the system cannot detect cyber exposures in networked environments and responds too slowly to rapid digital asset changes

Engineering Contradiction:

Improvecybersecurity protection effectivenessVSAvoidresponse speed to digital asset changes

Core Design Contradiction:

ReliabilityVSProductivity

Solution Approach 1:

The system performs preliminary actions by proactively scanning and analyzing digital assets before changes occur, maintaining continuous monitoring of asset states, connections, and relationships. This allows the system to detect cyber exposures and potential threats before they manifest as actual breaches, enabling preventive rather than reactive security measures.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system implements feedback mechanisms by continuously monitoring digital asset changes, analyzing scanned information, and adjusting protection strategies in real-time. The feedback loop includes detecting asset modifications, evaluating their security implications, and automatically updating access restrictions or alerting administrators, thereby maintaining effective protection despite rapid changes.

Inventive Principle:

Principle #23Feedback

2Difficulty of detecting and measuring

If comprehensive external network scanning and analysis are implemented, then cyber exposure detection improves, but system complexity and resource requirements increase

Engineering Contradiction:

Improvecyber exposure detection capabilityVSAvoidsystem architecture complexity

Core Design Contradiction:

Difficulty of detecting and measuringVSDevice complexity

Solution Approach 1:

The scanning system is designed with multi-functionality to handle diverse digital asset types (documents, images, videos, audio, code, databases) through a unified scanning framework. The system can analyze various data formats and structures using common processing mechanisms, reducing the need for separate specialized systems for each asset type and thereby managing complexity while maintaining comprehensive detection capability.

Inventive Principle:

Principle #6Universality (Multi-functionality)

Solution Approach 2:

The system segments the scanning and analysis process into distinct modules that can independently process different aspects of digital assets. Each module handles specific tasks such as metadata extraction, content analysis, or relationship mapping, allowing the complex detection function to be divided into manageable components that can be optimized and maintained separately.

Inventive Principle:

Principle #1Segmentation

3Ease of operation

If internal digital information is used for protection testing, then existing systems can operate with current data, but the system fails to identify external cyber exposures and networked threats

Engineering Contradiction:

Improveoperation with existing internal dataVSAvoidcyber exposure information

Core Design Contradiction:

Ease of operationVSLoss of information

Solution Approach 1:

The system introduces an intermediary scanning layer that bridges internal digital assets with external network information. This intermediary component actively queries external sources, analyzes public exposures, and correlates findings with internal asset data, thereby revealing cyber exposures that would otherwise remain hidden while continuing to operate with existing internal information bases.

Inventive Principle:

Principle #24Intermediary (Mediator)

Data Source

PatentUS20260093798A1Techniques, Machine Intelligence, and Mechanisms for Expanding Digital Asset Scope

Publication Date: 2026.04.02 MALANTAI LTD

AI summary

Disclosed herein are techniques for generating digital asset intelligence. Techniques include receiving a natural language input identifying an entity maintaining a private network having access to hypothetical digital assets associated with the entity; identifying, using the natural language input and without connecting to the private network, hypothetical digital assets; transmitting at least one test communication to at least one endpoint associated with the hypothetical digital assets; based on a response or a lack of a response to the at least one test communication, digitally tagging a first portion of the hypothetical digital assets as validated digital assets and a second portion of the hypothetical digital assets, not included in the validated digital assets, as unvalidated digital assets; storing digital information associated with the validated digital assets; and identifying one or more cybersecurity exposures associated with the validated digital assets.