Data security and RAG architecture in closed systems

In sectors under strict regulation — finance, healthcare, law above all — keeping data inside the company and protecting confidentiality is the hardest rule there is. Using an LLM inside such a closed system calls for purpose-built RAG architectures that let the model draw on internal documentation directly and with high accuracy.

A secure AI infrastructure does more than find the right information; it also carries role-based authorisation layers. The model must never build context from, or answer out of, a document the asking employee has no right to access. Architectures like these are backed by practices that guarantee full compliance with international data security standards and local regulation.