In the rapidly evolving world of AI, security engineers face the unique challenge of safeguarding applications while empowering developers to leverage the full potential of public cloud services. This session dives deep into the security best practices for Azure AI solutions.

We’ll explore the essential components and strategies to secure AI applications, ensuring robust protection without stifling innovation. From managing network security and authentication to implementing key rotation and environment variables, you’ll gain practical knowledge and actionable insights to fortify your AI deployments.

This session promises to be both professional and fun, packed with real-world examples and interactive discussions. Whether you’re a seasoned security engineer or new to the field, you’ll leave equipped with the tools and confidence to secure your AI applications in the cloud, all while giving developers the freedom they need to innovate.

Don’t miss this opportunity to stay ahead of the curve and make your mark in the world of AI security!

You will learn:

• What components are often included in AI solutions and how those should be protected
• Why it is necessary to ensure that AI tools are published in correct manner
• The pain points that AI developers face in security during development and how to avoid those