Invention Grant
- Patent Title: Application of trained artificial intelligence processes to encrypted data within a distributed computing environment
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Application No.: US18367374Application Date: 2023-09-12
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Publication No.: US12079351B2Publication Date: 2024-09-03
- Inventor: James Anthony Begg , Omar Hamdan , Sertac Kabadayi , Zezhong Zheng , Jinoj Titus
- Applicant: The Toronto-Dominion Bank
- Applicant Address: CA Toronto
- Assignee: The Toronto-Dominion Bank
- Current Assignee: The Toronto-Dominion Bank
- Current Assignee Address: CA Toronto
- Agency: Duane Morris LLP
- Main IPC: G06F21/60
- IPC: G06F21/60 ; G06N3/04 ; G06N3/08 ; H04L9/00

Abstract:
The disclosed embodiments include computer-implemented processes that predict a credit score for a customer in real-time based on an application of a trained machine-learning or artificial-intelligence process to encrypted event data at a third-party computing cluster. For example, an apparatus may transmit encrypted event data to a third-party computing system. The third-party computing system may apply a trained artificial intelligence process to encrypted feature data that includes the encrypted event data, and the apparatus may receive, from the third-party computing system, encrypted output data representative of a predicted credit score during at least one temporal interval. The apparatus may decrypt the encrypted output data using a homomorphic decryption key, and transmit a notification that includes the decrypted output data to a device. An application program executed at the device may present a graphical representation of at least a portion of the decrypted output data within a digital interface.
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