Method and apparatus for cloud platform for secure artificial intelligence model training and inference

A method, comprising:

• receiving and decrypting an encrypted incoming request from a client for training one or more artificial intelligence (AI) models;
• training the one or more AI models using data maintained within a first boundary, wherein the data maintained within the first boundary is first encrypted before such data is accessed by components or devices outside of the first boundary;
• applying the one or more trained AI models to perform one or more inference operations;
• and
• providing outcome of the one or more inference operations back to the client or to another party.

A system, comprising:

• a means for receiving and decrypting an encrypted incoming request from a client for training one or more artificial intelligence (AI) models;
• a means for training the one or more AI models using data maintained within a first boundary, wherein the data maintained within the first boundary is first encrypted before such data is accessed by components or devices outside of the first boundary;
• a means for applying the one or more trained AI models to perform one or more inference operations;
• and
• a means for providing outcome of the one or more inference operations back to the client or to another party.