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Using Microsoft Azure Security Tools to Protect AI Solutions

via Pluralsight

Overview

As more and more systems are automated with the use of AI, securing AI solutions is of paramount importance. In this course, you will explore the various facilities Azure offers to secure Azure machine service learning solutions.

Securing AI solutions is of paramount importance; not only can AI solutions be hacked, they can be used to hack other systems. In this course, Using Microsoft Azure Security Tools to Protect AI Solutions, you'll explore how AI and security introduce new challenges that we conventionally did not have to worry about. You'll then learn about the various facilities Azure offers that work with Azure ML workspace in helping you secure your AI solutions. Finally, you'll review the various facets you need to consider and the various processes and artifacts you must secure. By the end of this course, you will have a clear vision and understand the various building blocks required to secure Azure AI solutions.

Topics:
  • Course Overview
  • Exploring Security for Azure Machine Learning
  • AI and Security
  • Securing Data in Transit and at Rest
  • Differentiating AI and Platform as a Service Considerations
  • Wrapping Up

Taught by

Sahil Malik

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