Securing LLMs Starts with Securing the Information Behind Them - OpenText Blogs

You finally got the AI tool set up. Now what happens when it accidentally surfaces a confidential client file to the wrong employee? Nobody talks about this part. I hear it all the time — "we bought

You finally got the AI tool set up. Now what happens when it accidentally surfaces a confidential client file to the wrong employee?

Nobody talks about this part.

I hear it all the time — "we bought that AI tool but nobody uses it." Sometimes it's adoption. But sometimes the team quietly stopped using it because something felt off. They weren't sure what the AI could see.

That quiet unease is legitimate. Not paranoia.

Here's the insight most vendors skip: AI is only as trustworthy as the information you point it at. When you connect an AI tool to your documents, emails, or client systems, it inherits every permission problem, every messy folder, every file that was never supposed to be shared widely. The AI doesn't know that. It just answers questions.

This isn't a reason to avoid AI. It's a reason to start small and intentional.

Before your next AI implementation, do one thing: pick a contained, low-risk data set to start with. Internal FAQs. A single process document. Something with no sensitive client data. Let the tool prove itself in a sandbox before you hand it the keys.

One clean win builds more confidence than any demo ever will.

What's held your team back from actually using the AI tools you've already paid for — the tech, or the trust?

#AIStrategy #SmallBusiness #AIImplementation #BusinessOwner

Original Source

The Hidden Risk in Enterprise AI. As organizations connect LLMs to document repositories, collaboration platforms, and business systems, they gain ...