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AWS is evolving Security Hub into a unified control plane that aggregates multicloud posture data while introducing specific protections for AI workloads. This move directly addresses the industry reality where enterprise AI initiatives are increasingly distributed across multiple cloud providers, creating a fragmented security landscape. By unifying detection logic and workflows for both AWS and Azure resources, the update aims to reduce tool sprawl specifically in the context of securing expanding AI attack surfaces.

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AWS turns Security Hub into an AI and multicloud security control plane

ZK ResearchJuly 23, 20268 min read

By extending Security Hub to Microsoft Azure and adding artificial intelligence-specific protections, Amazon Web Services Inc. is positioning its security stack as the foundation for securing enterprise AI at scale. Amazon Web Services’ latest Security Hub updates announced earlier this month acknowledge two realities its customers already live with every day: AI is now the fastest-growing attack surface in the enterprise, and almost every serious AI initiative is, or soon will be, multicloud. The result is a Security Hub release that extends to Microsoft Azure and delves into AI workloads on AWS, with the clear goal of turning the service into a unified control plane for cloud and AI security. Security Hub, which began as a cloud security posture management or CSPM tool for AWS, has steadily evolved into the aggregation point for detections across native services and partners. The new release expands that role. I recently discussed the update with Michael Fuller, director of…

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