Azure Decoded: End-to-End Security for Microsoft Foundry Environments
Details
Don’t just react—stay ahead.
Discover how to monitor, detect, and respond to AI-specific security threats using Defender for Cloud AI Foundry’s powerful capabilities.
What you’ll learn:
- Define access boundaries using Microsoft Entra ID and role-based access control (RBAC)
- Manage project-level permissions within shared environments
- Secure secrets with Key Vault and managed identities
- Isolate workloads with managed virtual networks and Private Link
- Enable diagnostic logging for centralized visibility and investigation
Who should attend:
Developers, Security Engineers, and technical professionals who want to learn how to configure policies and alerts that keep AI workloads safe and compliant, giving you full control over your cloud environment.
