Can Google’s New KataOS Deliver a Provably Secure Embedded AI Platform?
Google’s experimental KataOS, built with Rust atop the formally verified seL4 microkernel and paired with the Sparrow reference implementation, aims to provide a provably secure operating system for embedded machine‑learning workloads, highlighting collaborations, architectural choices, and its place among historic microkernels.
