Confidential computing is emerging as a crucial strategy for enhancing the security of artificial intelligence (AI) systems. This paradigm leverages secure enclaves to protect sensitive data used in AI training and inference operations. By confining access to raw data, confidential computing reduces the risks associated with data breaches and inter