Voice Call Fraud Detection Using Geographic Access Verification
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Solution Overview
Problem
Financial institutions face challenges in detecting and preventing fraud-by-impersonation schemes, particularly through voice calls, especially when limited contact with customers makes it difficult to authenticate callers and update contact information, as seen in retirement accounts.
Innovation Solution
A fraud detection computing system authenticates voice callers by prompting them to access a network location via a unique network address, determining the geographic location of the access, and comparing it to the customer's associated addresses to identify potential fraud.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional authentication methods are used for voice callers, then ease of operation is maintained, but reliability of fraud detection deteriorates
Solution Approach 1:
The patent introduces a network location and geographic location data as an intermediary element to verify caller identity. Instead of directly authenticating the caller through complex procedures, the system mediates verification by comparing the geographic location where the caller accesses the network location with the customer's associated addresses. This intermediary mechanism enhances fraud detection reliability while maintaining operational simplicity.
2Reliability
If geographic location verification is implemented, then reliability of fraud detection is improved, but device complexity increases
Solution Approach 1:
The fraud detection computing system performs multiple functions using a unified architecture: it manages voice call authentication, generates and communicates network locations, tracks geographic location data, compares locations with customer addresses, and triggers alerts or account locks. This multi-functional approach consolidates complexity into a single system rather than requiring separate specialized components for each function.
Solution Approach 2:
The system automatically performs geographic location verification and fraud assessment without requiring manual intervention. The fraud detection computing system self-manages the entire process from receiving voice calls to comparing geographic data and executing preventive actions, reducing the need for complex human-operated verification procedures.
3Speed
If real-time geographic verification is performed, then speed of fraud detection is improved, but use of energy increases
Solution Approach 1:
The system performs geographic location verification selectively rather than continuously for all callers. It focuses computational resources on verifying the geographic location of callers who access network locations, comparing this data with customer addresses only when necessary to assess fraud risk. This partial action approach reduces overall energy consumption while maintaining rapid detection capability when fraud is suspected.
Data Source
AI summary
Various examples are directed to systems and methods for detecting potentially fraudulent voice calls to a financial services institution. A computing system may receive an indication of a voice call placed by a voice caller to an operator. The computing system may generate a network address indicator describing a network location. The network address indicator may be provided to the voice caller. The computing system may receive an indication of a financial services account indicated by the voice caller. The computing system may also receive an indication of an access to the network location by a remote device. The computing system may determine, using the indication of the access to the network location, a first location associated with the remote device and determine that the first location does not match a second location associated with the financial services account. The computing system may generate an alert indicating that the voice call is potentially fraudulent.