Phone Number Verification During Calls for Identity Threat Detection
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Solution Overview
Problem
Existing systems fail to detect and respond to potential security threats during incoming interaction sessions, such as phone calls, until after the session has ended, exposing users to increased security risks and inefficiencies in protecting sensitive information.
Innovation Solution
A computer-based system that utilizes machine learning algorithms to automatically detect triggering conditions during interaction sessions, verifies the association between a phone number and an entity, and executes security actions or notifications to prevent information extraction, including the use of a detection trigger condition module, notification generator module, and machine learning model module.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If verification of phone number association is performed during the interaction session, then security response time is improved, but system complexity increases
Solution Approach 1:
The system performs preliminary actions by obtaining indicators of phone number associations before the interaction session begins. This allows verification to occur during the session without adding complex real-time verification mechanisms, thus improving security response time while managing system complexity.
Solution Approach 2:
The system uses an intermediary approach by relying on third-party providers to supply indicators of phone number associations. This mediator handles the complex verification logic externally, reducing the complexity burden on the core system while enabling timely security responses during interactions.
2Object-affected harmful factors
If real-time detection and verification is implemented during interaction sessions, then security risk is reduced, but processing time and resource consumption increase
Solution Approach 1:
The system applies partial action by selectively verifying only those interactions that meet specific criteria or show signs of potential risk. Rather than verifying every single interaction in real-time, the system focuses resources on suspicious cases, reducing overall processing burden while maintaining security effectiveness.
Solution Approach 2:
By obtaining phone number association indicators in advance before interactions occur, the system prepares verification data beforehand. This preliminary action reduces the processing burden during actual interactions, lowering real-time resource consumption while maintaining security monitoring capabilities.
3Reliability
If phone number verification is performed during calls, then information extraction prevention is improved, but call quality and user experience may deteriorate
Solution Approach 1:
The verification process operates as an intermediary layer that works in the background without interrupting the natural flow of conversation. The system checks phone number associations silently and only intervenes when verification fails, preserving call quality and user experience while preventing information extraction from unverified numbers.
Solution Approach 2:
The system extracts verification logic as a separate, independent function that operates parallel to the call without interfering with it. By taking out the verification process from the main call flow, the system prevents information extraction from unverified numbers while maintaining seamless user experience for legitimate calls.
Data Source
AI summary
In some embodiments, the present disclosure provides an exemplary method that may include steps of receiving a permission indicator identifying a permission by the first user to detect calls being received by the computing device; receiving an indication of a particular call being received from a second user at a particular phone number; detecting a triggering condition to verify when the particular phone number is associated with the particular entity; instructing the computing device to execute a computer routine to verify when the particular phone number is associated with the particular entity; receiving an indication from the computer routine when the particular phone number is not associated with the particular entity; instructing the computing device to perform at least one security action; and instructing to notify a second computing device associated with the particular entity with information pertaining to the particular call.