🛑 Before diving into the solution, it helps to understand why AI workloads are different. Here are some of the unique risk vectors:

·        Prompt injection

·        Model inversion, extraction, and membership inference

·        Data leakage via responses

·        Poisoning of training datasets or drift manipulation

·        Compromise of model artifacts or weights stored in blob storage

·        Unauthorized inference access

·        Misconfiguration of AI services

·        Insider risk / over-privileged identities

Because of those risks, securing AI workloads means combining traditional infrastructure/identity controls with AI‐aware monitoring, governance, and detection.

To secure AI workloads,Microsoft can support you with this services :

👉 Microsoft Defender for Cloud

👉 Microsoft Purview

👉 Microsoft Sentinel

Defender for Cloud provides visibility, posture management, threat detection, and security recommendations across your Azure environment (IaaS, PaaS, and now AI).

Purview is Microsoft’s unified data governance, catalog, and compliance platform.

Sentinel is the SIEM + SOAR layer. It’s your central intelligence, correlation, and response brain.

https://learn.microsoft.com/en-us/azure/defender-for-cloud/ai-threat-protection

Securing AI workloads is not optional — it’s essential. By combining the capabilities of Microsoft Defender for Cloud, Microsoft Purview, and Microsoft Sentinel within a well-architected Azure Landing Zone, organizations can achieve a cohesive security posture that spans governance, detection, and response.

The EU Artificial Intelligence Act (AI Act) is now one of the most important regulatory frameworks for AI in the world. It imposes specific obligations on providers, deployers, and operators of AI systems — especially for high-risk systems and general-purpose AI (GPAI)

#AI #AIACT #Security #Sentinel #LandinZone #Azure #Defender