EVE AI Core
EVE AI Core
Six plain-English explainers on the ideas behind regulated AI — governance, control planes, model risk, audit trails, and the difference between advising and enforcing. Each is the clearest answer we can write to one question.
Two organizations can say “we do AI governance” and mean completely different things. This glossary fixes the vocabulary so the words carry weight.
“AI governance is the set of policies, controls, and evidence that determine what an AI system is allowed to do — and prove those rules were enforced on each decision.”
Real governance is not a document or a dashboard. It is three things working together — and the third is the one most teams are missing.
The rules an AI decision must satisfy — expressed precisely enough to evaluate automatically, not just as a PDF of principles.
A control point that applies the policy before the action runs, so a disallowed decision never reaches production — not a score you read afterward.
A signed, reproducible record of each decision that an auditor or examiner can verify independently — not logs you ask them to trust.
Plain-English explainers on the concepts behind regulated AI governance — each one written to be the clearest answer to a single question, and each linking to the products and documentation that put it into practice.
We’ll run one of your real decisions through the deterministic control plane, show you the same verdict twice, and hand you the signed certificate your auditors verify offline.