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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

Exploring backup and recovery

Backup and recovery are closely related concepts and are both needed so that we can safeguard our data. In this section, we will explain backup and recovery options for our workspace and the data connected to them. We will also talk about how to approach situations where backup options are not available. However, before we get started, let us remember what backup and recovery are.

Backup refers to the process of creating copies or replicas of data and storing them in a separate location or medium. The purpose of backups is to provide a means of recovering data if there is data loss, accidental deletion, system failures, disasters, or other unforeseen events. Backups serve as a safety net, allowing you to restore data to its previous state or a specific point in time. Backups can be performed at different levels, such as full backups (copying all data), incremental backups (copying only the changes since the last backup), or differential backups (copying...

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