How to run a fraud detection AI model on RHEL CVMs

· Red Hat · May 15, 2025, 7:35 a.m.
Summary
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.
AUTHOR
Sponsored
Zulip logo Zulip
Organized team chat for people who take work seriously. Topic-based threading keeps conversations focused.
Try Zulip
Become a sponsor →
BLOG POST FEATURED ON

Add this plugin to your blog