by Malana VanTyler AI security means hardening everything around the model, not just the model itself. AI workloads have moved out of the research sandbox and into production, which means they now carry the same operational weight as any other critical service. If you want to understand what is AI security in practical terms, start here. It's not a separate discipline bolted onto your existing stack. It's an extension of it. The systems around a model matter as much as the model itself, and for teams running Linux and open-source infrastructure, that means applying familiar discipline to some new risks. AI Security Is Becoming Part of the Linux Infrastructure Treat AI workloads like production infrastructure, not side projects. A model doesn't run in isolation. It depends on an operating system, a container runtime, storage, APIs, identity systems, and a pile of dependencies. If any of those layers are weak, prompt filtering or output moderation won’t be enough. Security teams that onl