Digital Presence Assessment Engine for Unified Risk Monitoring
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Solution Overview
Problem
Existing solutions for managing digital presence are inadequate as they provide stale or irrelevant assessments, require excessive resources for data filtering and analysis, and present scattered information, failing to address the comprehensive digital presence issues of entities across the surface, deep, and dark web.
Innovation Solution
The assessment engine offers a scalable and repeatable methodology for real-time digital presence risk mitigation, providing a holistic view of technical, strategic, operational, and financial risks through continuous monitoring and configurable data discovery, with features like a 'single-pane-of-glass' interface and dark web sanitization, accessible via a SaaS platform.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If existing solutions collect and present digital presence data, then information is provided, but the information is scattered and requires additional resources for analysis
Solution Approach 1:
The patent combines multiple data collection functions, analysis capabilities, and presentation interfaces into a single integrated digital presence assessment platform. The system merges surface web, deep web, and dark web data collection into one unified architecture, eliminating the need for separate tools and reducing operational complexity while maintaining comprehensive information coverage
Solution Approach 2:
The assessment platform performs multiple functions simultaneously: data collection from diverse sources, automated filtering and analysis, risk assessment scoring, and standardized reporting. This multi-functional approach replaces multiple specialized tools with a single universal system that handles the complete digital presence assessment workflow
2Loss of time
If existing solutions provide digital presence assessments, then information is available, but the assessments are stale or irrelevant
Solution Approach 1:
The system performs preliminary data collection and caching from multiple web layers before assessments are requested. By pre-gathering and organizing data from surface, deep, and dark web sources in advance, the system can rapidly generate timely assessments without experiencing data collection delays when assessments are needed
Solution Approach 2:
The platform implements continuous monitoring and periodic reassessment capabilities that feed updated information back into the assessment system. This feedback mechanism ensures assessments remain current by automatically detecting changes in digital presence and updating risk profiles accordingly
3Loss of information
If comprehensive digital presence data is collected, then complete information is obtained, but excessive resources are required for filtering and analysis
Solution Approach 1:
The system extracts only the relevant features and metrics from the comprehensive digital presence data collected from multiple sources. By separating essential assessment criteria from extraneous information through automated feature extraction, the system maintains complete data collection while reducing processing overhead and improving resource efficiency
Solution Approach 2:
The platform transforms raw digital presence data into standardized risk assessment parameters and scoring metrics. By changing the parameter representation from raw data to normalized risk scores, the system enables efficient comparison and analysis without requiring excessive computational resources for processing the original comprehensive datasets
4Loss of information
If scattered digital presence information is presented, then data is available, but additional resources are needed for further analysis
Solution Approach 1:
The system introduces an intermediary analysis layer that processes scattered digital presence data from multiple sources and transforms it into unified, standardized risk assessment reports. This intermediary layer correlates data across surface, deep, and dark web sources, applying consistent evaluation criteria to produce integrated findings that are immediately actionable without requiring additional user analysis
Data Source
AI summary
An assessment query may be received and analyzed to identify relevant assessment attributes and select a set of associated assessment resources. Assessment information may be extracted from the set of associated assessment resources. The extracted information may be used to identify additional relevant assessment attributes that may be utilized to extract additional assessment information. The extracted information may be used to generate a comprehensive threat assessment report. The threat assessment report, and the threat assessment, may be updated based on user feedback.