CPC H04L 9/0894 (2013.01) [G06F 8/75 (2013.01); G06F 8/77 (2013.01); G06F 11/3003 (2013.01); G06F 11/3409 (2013.01); G06F 11/3433 (2013.01); G06F 11/3452 (2013.01); G06F 11/3466 (2013.01); G06F 16/211 (2019.01); G06F 16/2365 (2019.01); G06F 16/24573 (2019.01); G06F 16/24578 (2019.01); G06F 16/285 (2019.01); G06F 16/367 (2019.01); G06F 16/907 (2019.01); G06F 16/9024 (2019.01); G06F 16/9035 (2019.01); G06F 18/10 (2023.01); G06F 18/213 (2023.01); G06F 18/2115 (2023.01); G06F 18/2155 (2023.01); G06N 5/01 (2023.01); G06N 5/025 (2013.01); G06N 20/00 (2019.01); G06N 20/20 (2019.01); H04L 9/088 (2013.01); H04L 9/3236 (2013.01)] | 20 Claims |
1. A method performed by a server system for receiving tenant data in which a machine-learning model is associated therewith, the method comprising:
authorizing a tenant system to communicate with the server system;
loading the machine-learning model associated with the tenant system;
receiving data from the tenant system, wherein the data is to configure the machine-learning model, wherein the data comprises one or more library components including at least one of a pipeline, a microservice routine, a software module, or an infrastructure model, and wherein the one or more library components are encrypted with key;
authenticating the data in accordance with the key;
discarding the data if the authentication fails; and
configuring the machine-learning model with the data if the authentication succeeds.
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