In your own cloud, locked down by default.
Auge runs on a machine you control. If that machine is in your cloud, in your
account, it runs there the same way: one container, on a private network, with nothing going
out. We do not host anyone's plant data, and the container does not need us.
Signing in is the one thing that needs a path out: the sign-in proxy has to reach your
identity provider. The container behind it gets nothing.
What we have tested, and what we have not
Tested on every change, on a GitHub runner: the image builds; it runs as a user that
is not root, with a read-only file system, every Linux capability dropped and no network at
all; it compiles a folder of exports into its work area and writes nothing into the exports;
every attempt to reach the internet from inside it fails, and a control run with a network
shows that the attempts would have worked; the console answers its health check and refuses
a request for a host name it does not serve; the MCP server answers with read-only tools only;
the Kubernetes manifests validate. A software bill of materials is produced with every build,
and the image is scanned for known vulnerabilities.
Not tested: we have not deployed it to Azure, AWS, Google Cloud, OpenShift or a
managed Kubernetes. The table above is built from each vendor's documentation, linked, and the
first customer deployment is where it gets proved. We will write down what we find.
What the rules say
We have found no Norwegian or EU rule that forbids analysis like this in a cloud. What the
rules ask for is control: waterworks must protect their control systems against unauthorised
access (drikkevannsforskriften
§ 10) and, under the Digital Security Act, follow up their suppliers
(Mattilsynet).
For power, the rules are stricter: a report
SINTEF wrote for NVE in 2025 concludes that class 1 and 2 control systems cannot move to a
cloud under today's rules, and tag lists and system configuration count as power-sensitive
information (kraftberedskapsforskriften,
NVE's
guide to § 6-2). For a power company we recommend a machine on site, and we do not claim
that any setup is compliant on your behalf: that is your assessment, and we will give you what
it needs.
If you would rather use your cloud's own language model
You can, and then the questions people ask, with the plant data in them, leave the container
for that service, under your contract with your cloud provider. That is your choice to make,
and a setting you change on purpose. With the model inside the container, nothing leaves.