Privacy Protection Chatbot Detecting Data Leakage
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Solution Overview
Problem
Existing chatbot systems lack effective mechanisms to detect and prevent the exposure of privacy-protected data, making them vulnerable to malicious attacks and data breaches.
Innovation Solution
Implementing an automated privacy protection chatbot that interacts with other chatbot systems to identify and prevent the exposure of privacy-protected data by asking targeted questions, analyzing responses, and taking remedial actions such as alerting administrators or shutting down vulnerable chatbots.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If chatbot systems provide automated interfaces to users, then user interaction efficiency is improved, but vulnerability to data breaches and fraud increases
Solution Approach 1:
The patent introduces a privacy protection chatbot as an intermediary system that monitors and detects data exposure attempts by other chatbots. This mediator detects when chatbots share privacy-protected data without authorization and alerts administrators, thereby maintaining the efficiency of automated user interactions while protecting against data breaches through a dedicated monitoring layer.
2Adaptability or versatility
If chatbot systems evolve and change over time, then adaptability to user needs is improved, but susceptibility to sophisticated attacks increases
Solution Approach 1:
The patent implements a feedback mechanism where the privacy protection chatbot continuously monitors conversations between other chatbots and users. When data exposure is detected, the system provides feedback by alerting administrators and can trigger remedial actions. This continuous monitoring and feedback loop enables the system to detect and respond to sophisticated attacks as they occur, maintaining security alongside chatbot evolution.
3Measurement precision
If manual monitoring of chatbot data exposure is performed, then detection accuracy is improved, but operational complexity and time consumption increase
Solution Approach 1:
The patent applies the self-service principle by implementing an automated privacy protection chatbot that independently monitors, detects, and reports data exposure incidents without requiring manual intervention. The system automatically analyzes chatbot conversations, identifies privacy-protected data sharing, and alerts administrators, thereby achieving high detection accuracy while reducing operational complexity and time consumption compared to manual monitoring approaches.
Data Source
AI summary
There are provided systems and methods for automated chatbots that detect privacy data sharing and leakage by other automated chatbot systems. A service provider and other chatbot services, including an electronic transaction processor, may provide self-service channels for assistance through chatbot and other automated computing processes. However, these chatbots may be regulated by compliance with privacy protection requirements, and therefore use of the chatbots and/or user data when responding to users via chatbots in chat sessions may be noncompliant and/or attacked by malicious users to compromise privacy protected data. In order to facilitate detection of leaks and shares by chatbots, an AI for a privacy protection chatbot may be trained on regulations for chatbot use and/or data security and privacy protection. The chatbot may then interact with other chatbots and question the other chatbots using the trained AI model to detect whether privacy protected data is exposed.