Digital Identity Verification for Insider Threat Screening
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Solution Overview
Problem
The rise of cloud computing and social media has increased cybersecurity threats from malicious insiders who exploit legitimate access, making it difficult to detect and prevent data breaches during hiring and selection stages.
Innovation Solution
A digital identity verification system using unique identifiers, secure HTTPS requests, and machine learning models to generate comprehensive digital profiles, assessing potential cybersecurity risks by analyzing online presence across multiple platforms without triggering email notifications.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional background checks are used during hiring, then the hiring process is simple and quick, but malicious insiders can bypass these checks and exploit legitimate access to sensitive information
Solution Approach 1:
The system performs digital footprint analysis and risk assessment during the hiring process before the applicant gains access to the organization. By conducting background checks, social media analysis, and credential verification in advance, the system identifies potential insider threats before they can cause harm, resolving the contradiction between early detection and process complexity.
Solution Approach 2:
The patent introduces an intermediary verification system that acts as a bridge between traditional hiring processes and security assessment. This intermediary layer analyzes digital footprints, verifies credentials, and assesses risks without replacing the entire hiring workflow, thereby improving security detection while managing system complexity.
2Measurement precision
If comprehensive digital footprint analysis is performed across multiple platforms, then the accuracy of identifying malicious insiders is improved, but the time and computational resources required increase significantly
Solution Approach 1:
The verification system divides the comprehensive digital footprint analysis into multiple independent modules: social media platform analysis, credential verification, digital identity validation, and risk assessment. Each module operates independently and can be executed in parallel, improving measurement precision while reducing the sequential time required for verification.
Solution Approach 2:
The system performs targeted analysis on specific high-risk platforms and credentials based on initial risk indicators, rather than exhaustively analyzing every possible digital footprint. This partial action approach maintains verification accuracy for critical threats while significantly reducing the time and computational resources required.
3Reliability
If the system checks for accounts across various websites, then the ability to detect malicious insiders is enhanced, but email notifications from those sites may be triggered compromising confidentiality
Solution Approach 1:
The system introduces an intermediary verification mechanism that checks for account existence without triggering email notifications. Instead of directly accessing email systems or sending verification emails, the system uses alternative methods such as analyzing public account metadata, checking domain registration information, and verifying through non-notification channels, thereby maintaining both detection capability and process confidentiality.
4Adaptability or versatility
If remote and hybrid work models are adopted, then organizational flexibility is improved, but the opportunities for malicious insiders to infiltrate organizations increase
Solution Approach 1:
The system performs comprehensive digital identity verification and risk assessment before granting remote or hybrid access to organizational systems. By conducting thorough background checks, credential verification, and threat evaluation in advance of remote work authorization, the system enables flexible work models while pre-identifying and blocking potential insider threats.
Solution Approach 2:
The verification system establishes continuous feedback loops that monitor digital footprints and risk indicators of employees in remote and hybrid work arrangements. This ongoing verification provides real-time security intelligence, allowing organizations to maintain flexibility while dynamically adjusting security measures based on detected threats or anomalous behavior patterns.
Data Source
AI summary
Systems and methods for verifying an applicant. An example method includes, receiving, from a user device, an application that includes an identifier associated with an applicant; determining a digital profile for the applicant based on the identifier; processing the digital profile through an assessment model to determine a metric for the applicant; and providing, to the user device, validation data for the application based on the metric for the applicant.