Maximizing Security in ML Environments with SageMaker Role Manager Sampathkumarbasa · Follow 3 min read · Just now In the second installment of our series, “Mastering ML Governance with Amazon SageMaker,” we delve into the Amazon SageMaker Role Manager — a pivotal tool for simplifying the assignment of permissions to engineers, data scientists, and other stakeholders needing access to SageMaker models. Onboarding new users to your ML workflows can be complex, requiring careful consideration of job roles, actions, and resources, all while adhering to the principle of least privilege. The Challenge of Onboarding Users When integrating new users into your ML processes, it’s essential to balance access needs with security. The question is: “What’s the minimal set of permissions I can grant without hindering their ability to perform their […]
Original web page at medium.com
