This article provides a detailed guide on running a fraud detection AI model using confidential virtual machines (CVMs) on Red Hat Enterprise Linux (RHEL) within Microsoft Azure. It covers data encryption, secure environments, and employs attestation to ensure the integrity of data while using AI for fraud detection in credit card transactions. Key steps include encrypting datasets, deploying trustee attestation, and utilizing Jupyter Notebooks for managing the model workflow.