Data & AI1 min readSample article
Putting an LLM assistant to work without leaking your data
Assistants that answer questions from your own documents are useful from day one. Keeping them safe takes a few decisions up front.
Trivick editorial team
An assistant that answers questions from your own policies, contracts or manuals can save hours a week. The risk is not the model itself, but what it can see and who can ask it.
Four decisions to make first
- Where the model runs, and whether your data may leave your environment
- Which documents it may read, per user, following the permissions you already have
- What it must never answer, and how you will test that
- Who reviews its answers where a mistake would matter
Get those right and the rest is engineering. Get them wrong and even a good model becomes a new way to find things people were never meant to see.