The question is no longer "do you know all the vulnerabilities in your product?" It is "if one appeared tomorrow in this part of the product, do you already know how it would be rated, and can you justify why?"
Understanding is predictability. To understand something means that if this happens here, that happens there. In security this does not mean predicting which vulnerability appears next. It means knowing, with defensible certainty, how any new vulnerability behaves in a given part of your product.
We operationalize the shift from reactive scoring to predictive severity. By combining deep product understanding with standardized rating logic and FDA-recognized CVSS decision criteria, severity comes from system context, not opinion.
The outcome is not perfect certainty. It is defensible consistency. Not opinion-proof, but opinion-resistant, which is exactly what regulators expect.
Start with one device. We build the twin from documentation your quality system already produces, run AI discovery remotely, and show you the graph: the handful to fix, and the evidence for everything else.