Real-time Voice Payment Data Screening
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Solution Overview
Problem
Call centers face challenges in protecting sensitive payment information during calls, as existing methods fail to effectively filter out payment details in real-time, potentially leading to data security breaches and non-compliance with standards like PCI DSS.
Innovation Solution
Implementing real-time screening of payment information through analytic devices that use natural language processing to analyze voice data, identifying payment information and pre-divulging words, and deciding whether to record or discard the data based on a threshold value, thereby preventing sensitive information from being recorded.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If voice data is recorded during calls, then complete call records are maintained for service quality, but payment information security is compromised
Solution Approach 1:
The system performs preliminary screening of voice data before recording by analyzing audio streams in real-time to detect payment information using natural language processing and pattern recognition. When payment information is detected, the system proactively prevents recording of that segment, thereby maintaining call record completeness for non-sensitive portions while protecting payment information security.
Solution Approach 2:
The system extracts and identifies payment information segments from the continuous voice data stream using analytic devices that recognize patterns associated with payment details. Once extracted, these sensitive segments are separated from the recording process, allowing the rest of the call to be recorded normally while the payment information is excluded, thus resolving the contradiction between complete recording and security.
2Reliability
If real-time analysis of voice data is performed, then payment information can be identified and filtered, but system complexity increases
Solution Approach 1:
The system introduces an intermediary analytic device that acts as a mediator between the voice data stream and the recording system. This intermediary component performs the complex natural language processing and pattern recognition tasks, isolating the complexity from the core recording functionality. The analytic device processes voice data in real-time, identifies payment information, and controls the recording process accordingly, thereby maintaining filtering accuracy while managing system complexity through modular architecture.
3Reliability
If payment information is screened in real-time, then data security is enhanced, but processing time increases
Solution Approach 1:
The system maintains continuous real-time analysis of the voice data stream without interrupting the call flow. The analytic device processes audio data as it arrives, continuously detecting payment information patterns and dynamically controlling the recording process. This continuous processing approach ensures data security is maintained throughout the call while minimizing delays, as the system never stops the voice stream - it only selectively prevents recording of sensitive segments.
Data Source
AI summary
A method including receiving a voice call; analyzing speech in real-time to determine whether payment information is included in the voice call; omitting to record the voice call when it is determined that the voice call includes the payment information; and recording the voice call when it is determined that the voice call does not include the payment information.