Parametric Knowledge
The information learned by an AI model during its training process and stored within its weights and parameters.
Unlike Retrieved Knowledge (which an AI looks up in a database), parametric knowledge is what the AI knows fundamentally. When unsanctioned data is ingested during a training run, it becomes part of this permanent structure. This makes shadow AI particularly dangerous, as the data is essentially baked into the model's architecture, making it virtually impossible to retrieve or delete.
After being trained on millions of medical journals, a model knows the symptoms of a rare disease as part of its parametric knowledge, allowing it to answer questions even when it doesn't have access to the internet.
“What used to take weeks of manual reviews and policy work is now structured and auditable in Enzai within minutes. It’s the first time AI governance has felt operational, not theoretical.”
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