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Welcome to Tech News Briefing. It's Monday, February 24th. I'm Charlotte Gartenberg for the

Wall Street Journal. Large language models, or LLMs, are the most rapidly growing area of

AI today. But while helpful, they can be risky. We'll tell you how they're creating a new

cybersecurity challenge for companies. Then, doctors and hospitals are looking to get drugs, medical supplies,

and even organs to where they're needed even faster. How? Drones. But first, have you ever used

ChatGBT, Google's Bard, Meta's LMA, Microsoft's Bing Chat?

LLMs are pervasive for personal and professional use, and they're growing.

And that's creating new cybersecurity challenges for companies.

Steve Rosenbush is chief of the Enterprise Technology Bureau at WSJ Pro, and he joins us today

with why exactly LLMs are getting riskier and what

individuals and companies might do to protect themselves.

Steve, what are the risks with a company or an individual using an LLM?

There are essentially two kinds of risks.

There's the inbound risk and there's the outbound risk.

The outbound risk is that I or someone on my team and my organization intentionally or maybe inadvertently exposes sensitive company data to an LOM that's widely accessible to the public.

...