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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

Authenticating with application identities

Application identities are a fundamental concept in Microsoft Entra ID IAM. They represent the security context of an application or service when interacting with Azure resources. Typically, the underlying object is the service principal. A service principal is like a user identity but is used by applications, services, or scripts to authenticate and access Azure resources securely. The process of creating a service principal depends on what it is we want to use to authenticate, and mostly, we can recognize two types—application identities and managed identities used by Azure services.

When it comes to authentication and authorization in the application or managed identity, the process is the same. If it exists in Microsoft Entra ID, it can be assigned RBAC, as with any user in the system. Service principals have life cycles, just as with user identities. They can be created, updated, and deleted. For standalone Azure AD applications...

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