Automated Personal Data Removal Service
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Solution Overview
Problem
Users face difficulties in efficiently requesting and tracking the removal of their personal data from multiple data brokers and people search providers due to the complexity of identifying relevant parties and varying procedures, which is time-consuming and labor-intensive.
Innovation Solution
A service that collects user-provided identifying data to verify their identity and determines which data brokers and people search providers have their personal information, then sends instructions to delete the data, using machine learning to automate the response tracking and resending processes based on received responses.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If users manually identify and contact each third-party data broker to request data deletion, then they can potentially remove their personal data, but the process becomes extremely time-consuming and complex due to the large number of third-parties and varying procedures
Solution Approach 1:
The patent introduces a service provider as an intermediary between users and multiple third-party data brokers. This service provider automatically manages the complex process of identifying, contacting, and following up with numerous data brokers on behalf of users, thereby resolving the contradiction by maintaining reliable data removal while dramatically reducing the time and effort required from users
2Reliability
If users submit data removal requests to multiple data brokers with different procedures, then comprehensive data removal can be achieved, but the device complexity and operational difficulty increase significantly
Solution Approach 1:
The service provider creates a universal platform that handles multiple data brokers through a single interface. The system maintains databases of various brokers' requirements, procedures, and contact information, allowing it to adapt to different data removal processes automatically. This universal approach enables comprehensive data removal across multiple brokers while hiding the underlying complexity from users
3Loss of information
If users manually track responses from each data broker, then they can monitor data removal status, but the operational burden and time investment increase substantially
Solution Approach 1:
The service provider implements an automated tracking system that proactively monitors responses from data brokers and updates users without requiring manual intervention. The system automatically follows up with brokers, receives responses, interprets them, and notifies users of the data removal status. This self-service approach ensures complete tracking information while making the process extremely easy for users
Data Source
AI summary
A service that allows user to request personal data be removed from multiple data brokers or people search providers and tracks the requests is provided. A user provides identifying data that can be used to verify their identify to the service. The identifying data may include information such as name, current and/or previous addresses, email address, telephone number, sex, birthdate, etc. With respect to data brokers, the service retrieves information retrieves requirements for each of a plurality of data brokers. Based on the identifying data and the requirements, the service sends an instruction to the data broker to delete the private data. As responses are received from the data brokers, the service updates a report where the user can view information about each data broker and whether or not each data broker has deleted the user's private data.