Ninja IT: Gari Singh on the AI Infrastructure Nobody Invited the Platform Team To

In a recent episode of the [Dev]olution Podcast, Gari Singh, a Google Cloud product manager, discusses the shift from "Shadow IT" to what he terms "Ninja IT," highlighting the increasing challenge of managing agentic AI systems that operate without human approval chains. Singh, who has extensive experience from his tenure at IBM, emphasizes the rapid deployment of these AI agents by companies, as revealed by Deloitte's 2026 State of AI survey, which shows that while many companies plan to implement agentic AI, few have robust governance models in place. This lack of control could lead to significant challenges, as these agents autonomously execute tasks and utilize any available tools without explicit instructions. Singh advises platform engineers to actively engage with these systems by building and observing their behavior, rather than resorting to traditional security measures like firewalls. He also explores the implications of infrastructure at machine speed and offers insights into the evolving landscape of IT management, comparing MCP servers to SOAP, and discussing the significance of user mapping in containers for future security breaches. The podcast encourages listeners to subscribe for ongoing discussions on these critical topics.

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