Distributed Data Security Through PII Segmentation for Third-Party AI
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Solution Overview
Problem
The challenge is to ensure the security of sensitive user data when using third-party AI models for interactive communications while maintaining efficiency and effectiveness.
Innovation Solution
A distributed data security system using blockchain and cryptographic hash functions to encrypt and track user data, generating a hash key from personal information to secure interactions, allowing only non-personal data to be shared with third-party models.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If third-party AI models are used to facilitate customer interactions, then efficiency and cost savings are improved, but data security and privacy are worsened due to exposure of sensitive user information
Solution Approach 1:
The system segments user data into personal identifiable information (PII) and non-PII components. Only non-PII data is transmitted to third-party AI models, while PII remains securely stored in the organization's controlled environment. This segmentation allows the organization to leverage third-party model capabilities while maintaining data security by exposing only the necessary non-sensitive portions of user data.
Solution Approach 2:
The system introduces an intermediary layer between the organization's data and the third-party AI models. This intermediary processes and anonymizes data before transmission, acting as a buffer that protects sensitive information while still enabling the AI models to perform their interaction facilitation functions effectively.
2Adaptability or versatility
If personal data is transmitted to third-party models, then interaction effectiveness is improved, but data privacy is worsened
Solution Approach 1:
The system extracts and removes personal identifiable information from user data before transmission to third-party models. By taking out the sensitive PII components and retaining only non-identifying information, the system maintains interaction effectiveness while eliminating privacy exposure risks associated with transmitting personal data.
Solution Approach 2:
Instead of transmitting original personal data, the system creates anonymized copies or representations of user information that preserve interaction effectiveness without containing actual personal identifiers. These copied data structures enable AI modeling while preventing privacy breaches.
3Reliability
If data encryption and blockchain tracking are implemented, then data security is improved, but system complexity is worsened
Solution Approach 1:
The system implements automated cryptographic key management and blockchain operations that perform security functions without requiring manual intervention. The automated generation of cryptographic keys, automatic encryption/decryption processes, and self-managed blockchain data structure operations reduce the operational complexity burden despite the advanced security mechanisms employed.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Ensures secure handling of sensitive information by encrypting and tracking data exchanges, maintaining data integrity and privacy while enabling effective user interactions.
Implementation Method 1
executing a cryptographic function using personal data to generate a hash key identifier
Data Source
AI summary
Described herein are systems and techniques to facilitate the use of third-party and other external interaction data generation systems to generate data that may be used in customer interaction without jeopardizing the security of personal information. Interaction data received from a customer may be stored in a blockchain block and non-personal data may be used to generate a request for interaction data. A hash key based on the personal data may be generated to generate and identify the blockchain and track interaction data for a communications session. Data exchanges may be associated with this hash key so that the system may identify and utilize data in the associated blockchain for operations related to the communications session.