AI Apocalypse Debunked: Sandbox Breaches, Better Models And What’s Really Happening

So I'm not going to say we're going to have a little fun today, but I think we're going to have a spirited discussion on AI security.

Some of the announcements from this past week, lots of the news that's hit over the last few weeks and months because we think there's all of us are in agreement that there's lots of confusion in the market, in the media about AI.

and the potential dangers moving forward if there actually are any, and how to work around these issues, put guardrails in place, and make sure that everyone from end users to large enterprise is comfortable with the direction that AI is heading, especially now as we move into the agentic age where virtually everyone that's into AI is leveraging agents to help them accomplish tasks.

So I think let's start at a high level, guys.

Over the last few weeks and months, we've heard many stories from companies, large companies, OpenAI, Anthropic, where their agents have performed actions that were unexpected.

Perhaps they broke through a sandbox and breached a third party's website or a government website.

Jim, let's start with you.

Let's give some sort of a technical foundation for what's happening here and why some folks are confused about what's going on.

Well, I think when we transitioned to LLMs and generative AI, everyone understood, wow, AI can actually now do reasoning.

It can actually analyze information, reason information, and make recommendations on what to do.

But there has to be guardrails on there.

We have to do something that's going to say you can only look at this, you can only use this, or you can only do this.

That's one thing.

And that's one thing for a model.

But now we're going to agentic AI or agency AI.

Really having the ability of taking that information and using hardware and software tools or equipment or whatever to actually do take actions on that information autonomously sometimes.

So you're actually giving it the ability to act, especially in the physical world, the digital world and the physical world.

And that takes on a whole different boundary.

You have to start thinking about not just how do I limit what the model can do, but you have to start thinking about the agent and what are the limits I put on the agent.

And the agent is a much broader focus because you have to look at everything the agent touches and other agents and everything else.

So you have to start thinking about securing the infrastructure you know, everywhere that agent's going to be or anywhere that agent's going to touch.

And that's a whole different, and I think we've struggled with that, you know, and that's how we've seen, you know, some of these agents, you know, really, you know, either they jailbroke based on, you know, maybe it was a poor interpretation of what they were supposed to do, or maybe they interpreted what they were supposed to do differently and they jailbroke, out of the environment they were in, or maybe in the process of doing what they were doing, they read something or took something and it changed their prompt and they said, okay, well, now I'm basically hijacking it and saying, okay, I think I need to go do this, which is different than what I originally thought.

Or, you know, basically, you know, maybe it's just the agent not given enough information and it's just going off and interpreting it in a completely different way.

But, you know, this is artificial.

This is intelligence, just like human intelligence.