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Security Framework: AI RMF

AI systems face growing risk and compliance demands. This course will teach you how to apply the NIST AI Risk Management Framework (RMF) to identify, assess, and manage AI risks for trustworthy, responsible deployment.

Beginner
1h 4m

Created by Alexander Shafe

Last Updated May 01, 2026

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  • Course

Security Framework: AI RMF

AI systems face growing risk and compliance demands. This course will teach you how to apply the NIST AI Risk Management Framework (RMF) to identify, assess, and manage AI risks for trustworthy, responsible deployment.

Beginner
1h 4m

Created by Alexander Shafe

Last Updated May 01, 2026

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What you'll learn

AI adoption is accelerating across industries, but unmanaged risks can lead to security failures, bias, regulatory penalties, and loss of trust. In this course, Security Framework: AI RMF, you’ll learn how to effectively manage AI risks using the NIST AI Risk Management Framework (RMF). First, you’ll explore the foundations of AI risk management, including governance, risk types, and the purpose of the AI RMF. Next, you’ll discover how the framework is structured and how organizations implement it using core functions such as govern, map, measure, and manage. Finally, you’ll learn how AI RMF aligns with regulatory frameworks and how organizations avoid legal, ethical, and compliance risks. By the end of this course, you’ll be able to apply AI RMF concepts to real-world scenarios and support responsible AI governance within your organization.

Security Framework: AI RMF
Beginner
1h 4m
Table of contents

About the author
Alexander Shafe - Pluralsight course - Security Framework: AI RMF
Alexander Shafe
7 courses 0.0 author rating 0 ratings

Alex is a seasoned Information Security Consultant with over 15 years of experience in the Information Technology (IT) industry. His career spans diverse roles, with a proven track record of excellence in Data Analytics, Business Systems Consulting, and Information Security.

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