Call Management Platform Fraud Detection via Device Data
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Interactive voice response (IVR) systems face challenges in distinguishing between legitimate and malicious attempts to access user account information, leading to potential fraud and security risks due to their inability to effectively authenticate users during voice calls.
Innovation Solution
A call management platform that processes voice call data to identify user accounts, authenticate users through user input, and takes actions based on authentication success or failure, utilizing machine-learning techniques to detect and prevent fraudulent activities in real-time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If IVR systems automatically handle phone calls without human operators, then productivity is improved, but reliability deteriorates due to inability to effectively authenticate users
Solution Approach 1:
The patent introduces a call management platform as an intermediary between the IVR system and users. This platform performs sophisticated authentication by analyzing call data, comparing device information with user account data, and determining whether to allow access. The intermediary handles the complex authentication logic that the basic IVR system cannot perform, thereby maintaining both automation and reliability.
2Ease of operation
If IVR systems use synthesized voice and touch-tone input, then ease of operation is improved, but measurement precision deteriorates in detecting fraudulent activities
Solution Approach 1:
The patent moves fraud detection from the voice input dimension to the device information dimension. Instead of trying to analyze voice patterns or touch-tone sequences for fraud, the system extracts device identifiers (phone numbers, device IDs) and compares them against stored user account data. This dimensional shift enables precise fraud detection while maintaining simple voice-based user interaction.
3Speed
If call management platform processes voice call data in real-time, then speed is improved, but device complexity increases
Solution Approach 1:
The patent performs preliminary actions by storing device information and user account data in advance in a database. When a call occurs, the system simply retrieves pre-stored data and performs straightforward comparisons, rather than performing complex analysis in real-time. This preliminary preparation enables fast real-time processing without requiring complex computational resources during the actual call handling.
Data Source
AI summary
A device may receive voice call data indicating that a voice call has been initiated between a first device and an interactive voice response device. The device may obtain, based on the voice call data, a user account identifier identifying a user account and obtain, based on the user account identifier, user account data including user authentication data. The device may receive user input provided by the first device during the voice call and determine, based on the user authentication data, that the user input fails to authenticate a user associated with the user account. The device may receive data indicating that the voice call has terminated and identify, based on the user input failing to authenticate the user, a second device. The device may perform an action based on the second device and the voice call data.