As organizations accelerate AI adoption, securing AI workloads has become a top priority. Unlike traditional cloud applications, AI systems introduce new risks—such as prompt injection, data leakage, and model misuse—that require a more integrated approach to security and governance.
To help developers and security teams understand and address these challenges, we are hosting Azure Decoded: Kickstart AI Security with Microsoft Defender for Cloud, a live session on March 18th at 12 PM PST focused on securing AI workloads built with Microsoft Foundry and Azure AI services.
From AI Security Concepts to Platform Protections
A strong foundation for this session starts with the Microsoft Learn module Understand how Microsoft Defender for Cloud supports AI security and governance in Azure. This training introduces how AI workloads are structured in Azure and why they require a different security model than traditional applications.
In the module, learners explore:
- The layers that make up AI workloads in Azure
- Security risks unique to AI, including prompt injection, data leakage, and model misuse
- How Microsoft Foundry provides guardrails and observability for AI models
- How Microsoft Defender for Cloud works with Microsoft Purview and Microsoft Entra ID to deliver a unified, defense‑in‑depth security and governance strategy for AI
Together, these services help organizations protect model inputs and outputs, maintain visibility, and enforce governance across AI workloads in Azure.
Bringing AI Security Architecture to Life with Azure Decoded
The Azure Decoded: Kickstart AI Security with Microsoft Defender for Cloud session on March 18th builds on these concepts by connecting them to real‑world architecture and platform decisions. Attendees learn how Microsoft Defender for Cloud fits into a broader AI security strategy and how Microsoft Foundry helps apply guardrails, visibility, and governance across AI workloads.
This session is designed for:
- Developers building AI applications and agents on Azure
- Security engineers responsible for protecting AI workloads
- Cloud architects designing enterprise‑ready AI solutions
By combining conceptual understanding with platform‑level security discussions, the session helps teams design AI solutions that are not only innovative—but also secure, governed, and trustworthy. Be sure to register so you do not miss out.
Start Your AI Security Journey
AI security is evolving quickly, and it requires both architectural understanding and practical platform knowledge. Start by exploring how Microsoft Defender for Cloud supports AI security and governance in Azure, then join the Azure Decoded session to see how these principles come together in real‑world AI workloads.
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