The Public Business Brain holds deterministic facts with sources that AI can reference and cite reliably. A separate Private operational layer stores internal data and procedures that should not be exposed publicly. This separation helps ensure AI outputs can cite verifiable sources from the Public Brain while protecting sensitive operations, and it supports governance by keeping updates and versions auditable. In practice, AI can pull from the public facts and linked proofs without revealing internal processes, improving trust and traceability across AI interactions.
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Why split data into a Public Business Brain and a Private operational layer, and how does that improve AI citations?
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