Telephonic Signal Processing for Secure Call Recording
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Solution Overview
Problem
Current call center technologies face challenges in securely processing sensitive information during telephonic transactions, as existing methods either disconnect agents and callers or require complex state switching, failing to effectively prevent data theft and compliance with regulations like PCI DSS.
Innovation Solution
A method and call processor that buffer and monitor telephonic signals to detect sensitive information, modify the signals by removing predetermined characteristics, and output alphanumeric representations for secure processing, allowing for continuous communication while preventing data exposure.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If call recording technology is used to record customer conversations for training and complaint management, then service quality improvement is enabled, but sensitive information security is compromised
Solution Approach 1:
The patent extracts and removes sensitive information (such as credit card numbers, security codes, and personal identifiers) from the recorded audio signals using signal processing techniques. The sensitive data is detected through pattern recognition and then excised from the recording, allowing the call to be retained for training purposes while eliminating security risks.
Solution Approach 2:
The system applies preliminary processing to prevent harmful effects by detecting sensitive information patterns before they can be compromised. The call processor proactively identifies and neutralizes sensitive data in the audio stream, preventing potential data theft or misuse while maintaining the recording's utility for quality assurance.
2Measurement precision
If screen recording technology is used to capture agent terminal displays for record-keeping, then transaction accuracy is improved, but data theft risk increases
Solution Approach 1:
The patent removes sensitive visual information from screen recordings by detecting and excising portions of the recorded display that contain sensitive data such as credit card numbers, security codes, and personal identifiers. This allows the recording to maintain its value for transaction verification while eliminating theft risks.
3Object-affected harmful factors
If pause recording capability is introduced to improve security during sensitive information transmission, then data protection is enhanced, but call operation complexity increases
Solution Approach 1:
The call processor automatically detects sensitive information patterns in the audio stream and autonomously applies security measures without requiring manual intervention. The system self-manages the security process by identifying when sensitive data is being transmitted and automatically implementing protection protocols, eliminating the need for agents to manually pause or manage recording states.
4Object-affected harmful factors
If DTMF tones are used for secure information entry, then security is improved, but recording compliance becomes problematic
Solution Approach 1:
The patent converts the previously harmful effect of DTMF tones (which made recordings non-compliant) into a beneficial feature. By detecting DTMF tone patterns and automatically removing the corresponding sensitive information from recordings, the system enables both secure customer input and compliant recording retention. The DTMF detection capability that once created compliance issues now serves as the mechanism for achieving compliance.
5Productivity
If automatic mining technology is used to extract customer information from recordings, then data processing efficiency is improved, but data loss through theft increases
Solution Approach 1:
The patent extracts sensitive information using authorized signal processing techniques that remove rather than expose the data. The same pattern recognition capabilities that could be used for mining are directed toward detecting and eliminating sensitive patterns, converting a potential security vulnerability into a protective mechanism that maintains processing efficiency while preventing theft.
Data Source
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AI summary
There is described method and apparatus for processing signals of a telephonic communication, where the signals represent sensitive and non-sensitive information. A described method comprises processing the signals to provide a first version of the signals that is to be recorded and a second version of the signals that is to be output as audio; monitoring at least the first version of the signals to detect, in said at least the first version of the signals, one or more instances of one or more predetermined characteristics that represent the sensitive information conveyed by the signals; and modifying said at least the first version of the signals by removing the identified predetermined characteristics from said at least the first version of the signals.