Loreflow Designs Its AI Answer Pipeline to Structurally Block Three Data Leak Types

Loreflow describes an answer pipeline built so that cross-tenant data leakage cannot happen regardless of model behavior. Its evidence-projection module is a pure function with no database handle, request context, or logger, so a bug can degrade answer quality but cannot reach another tenant. To limit prompt-injection risk from retrieved text, answers are assembled under fixed evidence budgets, and retrieved content is labeled as evidence rather than instructions. The team also prohibits object spreading when building evidence, so each field visible to the model must be explicitly listed, preventing internal fields from leaking silently.