Internal Knowledge Assistant

An internal knowledge assistant is an employee-facing artificial intelligence system that answers questions using internal documents, wikis, file stores, tickets, policies, procedures, and other indexed sources. It is commonly implemented using Retrieval-Augmented Generation (RAG), where relevant source material is retrieved before an answer is generated.

This deployment pattern creates an elevated exposure condition because the retrieval index becomes part of the synthetic subject’s instruction surface. Any indexed document, ticket, page, comment, or shared file may later enter the assistant’s context. If that content contains malicious or misleading instructions, the assistant may treat them as relevant during an ordinary employee query.

The primary risk is that a planted or low-trust document can influence answers drawn from higher-trust material. A malicious outsider or low-trust insider may not need direct access to sensitive repositories if they can place content somewhere the assistant indexes.

A related risk is permission and access-boundary failure. The assistant may retrieve, summarize, or infer information from documents the human requestor is not entitled to view. This can occur through a shared service identity, broad retrieval index, cached embeddings, inherited connector permissions, or weak query-time access controls.

Investigators should review the assistant’s directive, retrieval configuration, indexed sources, ingestion process, access controls, source ranking, logs, and retrieved source records. Particular attention should be given to retrieval outside the employee’s entitlement, embedded instructions in indexed material, and answers that are not grounded in approved sources.

Investigative Relevance

Internal knowledge assistants are relevant to the SITM because they convert internal document stores into conversational answers at workforce scale. Their retrieval process may combine content across repositories, trust levels, and access boundaries in ways that employees cannot easily observe.