As cloud workloads become more distributed and AI services drive new architectures, securing your Azure environment requires more than a checklist—it demands a strategy. This session delivers a tactical, real-world guide to locking down your Azure deployments using native tools, best practices, and field-proven architecture patterns.

Using a modern Azure AI solution architecture as the backdrop, we’ll walk through layered defenses across identity, network, platform, and data layers. You’ll learn how to:
• Enforce Zero Trust principles with RBAC, Privileged Identity Management (PIM), and Management Group governance.
• Use Managed Identities and Key Vault to eliminate secrets in code and control access at scale.
• Secure network traffic with Private Link, NSGs, and Next-Generation Firewalls (NGFWs) deployed in hub-spoke or Virtual WAN topologies.
• Monitor and maintain posture with Microsoft Defender for Cloud, Log Analytics, and Azure Monitor and Azure Managed Grafana.

Whether you’re deploying foundational infrastructure or advanced AI services like Azure OpenAI and RAG pipelines, this session provides the patterns and practices to confidently build and operate in a secure cloud environment.

Takeaways:
• Reference architecture: Securing an Azure AI solution end-to-end
• Managed Identity and Key Vault integration patterns
• Role-based access and PIM strategies that actually scale
• Firewall and Private Link patterns for network segmentation and control
• Tools and telemetry for ongoing security posture management