Introducing k8s-aibom on GKE for automated AI bills of materials
How should your security team manage shadow AI? Workloads deployed by developers without formal registration can often evade traditional security scanners, because organizations are reluctant to slow down development and compromise stability by demanding privileged Daemonsets, kernel-level access, and manual pod-spec edits.
To break this deadlock, today we are open-sourcing k8s-aibom. This lightweight, unprivileged Kubernetes controller continuously monitors the cluster API and container environments to automatically detect running AI runtimes (like vLLM and Triton) and generate standard CycloneDX Machine Learning Bill of Materials (ML-BOMs).
By providing automated, audit-grade visibility directly from runtime execution — regardless of whether the workload was formally registered — k8s-aibom can help teams safely move AI projects from pilot to production without developer integration friction.
The architecture of zero friction
k8s-aibom is designed from the ground up to respect both the CISO mandate for total visibility and the SRE mandate for cluster stability. It deploys...
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