- What the group believed its code footprint was
- Close to nothing. Software arrived with the machine builders, the systems integrators and the contract engineering firms who supplied it, so the group did not consider itself to have a public code presence at all.
- What the first pass across public sources returned
- Roughly two thousand public repositories mentioning the group or one of the brands and subsidiaries beneath it. Handed to a security function of the size a manufacturing group actually runs, that is not a queue — it is a reason to stop looking, which is exactly what raw scanner output is for.
- What reached an analyst once AI Review had ordered the queue
- Roughly two hundred actionable repositories: a ten-to-one reduction, and what survived is mostly genuine contractor and integration code, published under accounts no control inside the group administers. That is the manufacturing shape of this funnel rather than the platform average — a group whose matches are largely real supplier code has a higher signal density to begin with, so more of it survives review than in an estate whose name simply collides with a lot of unrelated public code. Neither ratio is offered as a prediction of what a first pass across yours would return.