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AI agents on Kubernetes: who controls their actions?
Published about 6 hours ago • 2 min read
Innovators Weekly Hello Reader, An AI agent running in Kubernetes can read a ticket, inspect metrics, call an API, update a deployment, and explain what it did. That is useful. It is also unsettling. Once software can choose tools, form plans, and act inside production systems, the core question changes from “Can it work?” to “Who controls what it is allowed to do?” Kubernetes already runs critical workloads for banks, hospitals, retailers, manufacturers, public agencies, and AI platforms....
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