CordonData addresses a specific and underappreciated risk: standard RAG pipelines index everything and ignore your existing Access Control Lists, meaning an employee could query an LLM and surface confidential documents they were never meant to access. CordonData fixes this by building permission enforcement directly into the retrieval layer — the engine checks ACLs before surfacing any chunk of content, so the LLM can only generate answers from documents the user already has rights to view. Content is extracted and stored as clean Markdown, which cuts down on data duplication without losing structure. Hybrid retrieval combines keyword and semantic search for accuracy, and every query is logged for compliance auditing. The whole stack deploys on-premise or air-gapped, making it viable for legal, finance, healthcare, and government environments where data cannot leave the network. If your organization has sensitive internal knowledge bases and needs AI-powered search without opening a compliance liability, CordonData is built specifically for that constraint.