You're reading from Machine Learning Security with Azure

Product typeBook

Published inDec 2023

PublisherPackt

ISBN-139781805120483

Edition1st Edition

Tools

Azure

Concepts

Machine Learning

Author (1)

Georgia Kalyva

Part 3: Securing and Monitoring Your AI Environment

When it comes to the cloud, there is more to security than data. In this part, you will learn how to secure identity and access and all the cloud infrastructure around your Azure Machine Learning resources. Then, you will learn how to automate those processes using MLOps practices and how to set up system monitoring to detect and resolve any security issues.

This part has the following chapters:

Chapter 6, Managing and Securing Access
Chapter 7, Managing and Securing your Azure Machine Learning Workspace
Chapter 8, Managing and Securing the MLOps Life Cycle
Chapter 9, Logging, Monitoring, and Threat Detection

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Published in: Dec 2023Publisher: PacktISBN-13: 9781805120483

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Author (1)

Georgia Kalyva

Georgia Kalyva is a technical trainer at Microsoft. She was recognized as a Microsoft AI MVP, is a Microsoft Certified Trainer, and is an international speaker with more than 10 years of experience in Microsoft Cloud, AI, and developer technologies. Her career covers several areas, ranging from designing and implementing solutions to business and digital transformation. She holds a bachelor's degree in informatics from the University of Piraeus, a master's degree in business administration from the University of Derby, and multiple Microsoft certifications. Georgia's honors include several awards from international technology and business competitions, and her journey to excellence stems from a growth mindset and a passion for technology.
Read more about Georgia Kalyva

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