Secure Interactive Voice Response System for Sensitive Data Isolation
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Solution Overview
Problem
Conventional IVR systems face significant security and privacy issues as sensitive information is prone to data breaches, exposure, and unauthorized access, particularly in cloud-based environments, where private data is vulnerable to hacking and improper disclosure.
Innovation Solution
A secure IVR system that includes a processor to assign communications, create anonymous order entries, detect sensitive information, isolate it from non-authorized parties, route it to a secure system for processing, and reconnect the communication to complete transactions, utilizing voice recognition and secure communication protocols to prevent exposure.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If conventional IVR systems are used to process transactions, then transaction efficiency is improved, but sensitive information security deteriorates
Solution Approach 1:
The system segments the communication stream into separate secure and non-secure portions. When sensitive information is detected, the system creates a secure communication channel that isolates sensitive data from the main communication flow, allowing transactions to continue efficiently while protecting sensitive information through structural separation.
Solution Approach 2:
The system introduces an intermediary detection and isolation mechanism that sits between the communication parties. This intermediary detects sensitive information in real-time and routes it through a secure processing path, preventing exposure to unauthorized recording or logging while maintaining the overall transaction flow.
2Measurement precision
If sensitive information is captured and logged for transaction processing, then transaction accuracy is improved, but data breach vulnerability increases
Solution Approach 1:
The system applies different quality characteristics to different portions of the communication. Sensitive information is subjected to special handling with restricted access and no recording, while non-sensitive transaction data is logged normally for accuracy purposes. This local differentiation allows transaction accuracy without universal exposure risk.
Solution Approach 2:
The system converts the potential harm of data exposure into benefit by using detection mechanisms that identify sensitive information and automatically apply protective measures. The very act of detecting sensitive data triggers its isolation and secure processing, turning the detection capability (which could expose data) into a protective feature that prevents breaches.
3Adaptability or versatility
If cloud-based ACD processing is implemented, then service capability is improved, but security exposure increases
Solution Approach 1:
The system adds a new dimension to cloud-based processing by implementing layered security architecture. Sensitive information is routed through a separate secure processing dimension that is isolated from the main cloud processing environment, allowing the system to leverage cloud capabilities while maintaining security boundaries through dimensional separation.
Data Source
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AI summary
System and method for a secure interactive voice response (IVR) includes: receiving a communication from a first party regarding a transaction, over a communication network; connecting the second party with the communication to service the communication; creating an anonymous order entry for the transaction; detecting sensitive information in the communication; isolating the sensitive information in the communication from the second party; route the communication to a secure system for processing of the sensitive information; and reconnecting the communication to complete the transaction.