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Machine Learning Security with Azure

You're reading from  Machine Learning Security with Azure

Product type Book
Published in Dec 2023
Publisher Packt
ISBN-13 9781805120483
Pages 310 pages
Edition 1st Edition
Languages
Author (1):
Georgia Kalyva Georgia Kalyva
Profile icon Georgia Kalyva

Table of Contents (17) Chapters

Preface 1. Part 1: Planning for Azure Machine Learning Security
2. Chapter 1: Assessing the Vulnerability of Your Algorithms, Models, and AI Environments 3. Chapter 2: Understanding the Most Common Machine Learning Attacks 4. Chapter 3: Planning for Regulatory Compliance 5. Part 2: Securing Your Data
6. Chapter 4: Data Protection and Governance 7. Chapter 5: Data Privacy and Responsible AI Best Practices 8. Part 3: Securing and Monitoring Your AI Environment
9. Chapter 6: Managing and Securing Access 10. Chapter 7: Managing and Securing Your Azure Machine Learning Workspace 11. Chapter 8: Managing and Securing the MLOps Life Cycle 12. Chapter 9: Logging, Monitoring, and Threat Detection 13. Part 4: Best Practices for Enterprise Security in Azure Machine Learning
14. Chapter 10: Setting a Security Baseline for Your Azure Machine Learning Workloads 15. Index 16. Other Books You May Enjoy

Enabling logging and configuring data retention for Azure services

As soon as we create an Azure subscription, we get full monitoring capabilities with the Azure Monitor service. This is a service where we do not need to enable or do any action, it is automatically available for our subscriptions. Although it provides us with full stack monitoring and advanced analytics, there are different things we can do with services that work on top of Azure Monitor. Azure Monitor can monitor and combine data in Azure, on-premises, and other clouds.

You can access the Azure Monitor service by searching for monitor on the search bar and clicking on the resource. In this blade, you will see all Monitor has to offer:

Figure 9.1 – An Azure Monitor overview

Figure 9.1 – An Azure Monitor overview

Let us see the key components of Azure Monitor.

Working with Azure Monitor

There are two types of data Monitor gathers, metrics and logs. Metrics are numerical values that represent various aspects of...

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