Authenticated Communication Verification for AI Scam Detection
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Solution Overview
Problem
Customers lack the ability to definitively determine whether communications received from institutions are authentic or fraudulent, relying on context clues that are increasingly difficult to discern with the rise of sophisticated artificial intelligence-generated scams.
Innovation Solution
A system that stores and maintains authentic communication records, allowing users to verify candidate communications by comparing feature values against a repository, providing a definitive classification of authenticity or fraudulence.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If customers rely on context clues to identify fraudulent communications, then they can detect fraud without additional system intervention, but the accuracy and reliability of fraud detection deteriorates as AI-generated scams become more sophisticated
Solution Approach 1:
The patent introduces an intermediary verification system between the communication sender and the customer. This system includes a verification server that receives communications, compares them against stored authentic communication patterns, and provides verification results to both the institution and the customer. The intermediary system handles the complex AI-generated scam detection, freeing customers from direct analysis while improving reliability.
Solution Approach 2:
The system implements feedback mechanisms where verification results are communicated back to customers through notifications indicating whether a communication is authentic or suspicious. The system also provides feedback to institutions about communication patterns, enabling continuous improvement of detection algorithms against evolving AI-generated fraud techniques.
2Loss of time
If customers manually verify communications using context clues, then no additional infrastructure is needed, but the time required to detect and respond to fraud increases
Solution Approach 1:
The system performs preliminary verification actions automatically when a communication is received. The verification server immediately compares the communication against stored authentic patterns and generates verification results before the customer needs to respond. This preliminary action eliminates the need for customers to manually analyze communications, significantly reducing response time while maintaining high productivity through automated processing.
3Measurement precision
If the system stores and maintains authentic communication records for verification, then the accuracy of fraud detection improves, but the storage requirements and system complexity increase
Solution Approach 1:
The system extracts only the essential verification information from authentic communications and stores these extracted features for comparison. Rather than storing complete communication records, the system extracts key patterns, formats, and characteristics that define authentic communications. This extraction approach maintains high measurement precision for authenticity detection while significantly reducing the quantity of data that needs to be stored and managed.
Data Source
AI summary
Systems, apparatuses, methods, and computer program products are disclosed for providing a history of authentic communications. An example method includes establishing an authenticated session with a user using a user device and receiving a communication history request from the user device via a mobile application. The example method further includes determining a user identifier for the user and retrieving an encrypted authentic communication associated with the user identifier from an authentic communication storage repository. The example method further includes decrypting the encrypted authentic communication. The example method further includes generating a communication history response and providing the communication history response to the user device via the mobile application.