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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

Concepts

Machine Learning

Author (1):

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

Why subscribe?

16. Other Books You May Enjoy

Index

As this ebook edition doesn't have fixed pagination, the page numbers below are hyperlinked for reference only, based on the printed edition of this book.

A

access keys 96

access security, Microsoft Entra ID

Azure Key Vault 162, 163

Conditional Access 160, 161

enhancing 160

Privileged Identity Management (PIM) 161

Advanced Encryption Standard (AES) 162

Adversarial Tactics, Techniques, and Common Knowledge (ATTACK) 34

Adversarial Threat Landscape for Artificial-Intelligence Systems (ATLAS) 34

aggregation 120

alerts

action group, creating 227-230

managing 233-235

rules, creating 230-233

working with 226, 227

Amazon Web Services (AWS) 241

application identities 151

authenticating with 151

managed identities, working with 155

service principal, creating 152

Application Insights 8

API, for custom events and metrics 238, 239

logging, configuring via Studio and SDK 235-238

working with...

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Authors (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.

See other products by Georgia Kalyva

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