AI Confidentiality Proxy for Secure Transfer of Sensitive Data Sets
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Solution Overview
Problem
Securing AI data sets from being sent to insecure and untrusted AI systems/services is a challenge, as enterprises rely on an honor system, risking security breaches and data leakage.
Innovation Solution
An AI confidentiality proxy is introduced to validate and authenticate data sets, establish data contracts with AI services, and enforce security policies to ensure secure data transfer.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If enterprises rely on an honor system to keep confidential data off third party AI systems, then device complexity is reduced and ease of operation is improved, but security reliability deteriorates and data leakage risk increases
Solution Approach 1:
The patent introduces a data confidentiality proxy as an intermediary component positioned between the enterprise network and third-party AI services. This proxy automatically validates data contracts, authenticates AI services, and enforces security policies before data transfer, eliminating the need for manual honor system reliance while maintaining operational ease through automated enforcement
2Productivity
If AI data sets are sent to cloud AI services, then productivity and AI service accessibility are improved, but security risk and data leakage potential increase
Solution Approach 1:
The patent implements preliminary validation actions before data transfer occurs. The proxy pre-validates data contracts, authenticates AI service identities, and verifies security policies are in place before allowing any data to be sent to cloud services, thereby enabling productive AI service usage while preemptively preventing security risks
3Reliability
If data contracts and authentication mechanisms are implemented, then security reliability is improved, but device complexity and system overhead increase
Solution Approach 1:
The data confidentiality proxy operates autonomously to validate data contracts, authenticate services, and enforce policies without requiring manual intervention. The system self-manages security operations, reducing the operational burden on users while maintaining high security reliability, and the proxy handles complexity internally rather than propagating it to end users
Data Source
AI summary
A system and method for an artificial intelligence (AI) confidentiality proxy that can protect a network from the transferal of sensitive AI data sets to outside AI systems. A data contract is established between the proxy and outside AI systems could function as well as user personas for additional protection. This system can also integrate with the network and provide security policy content and inspection rules.