Jul 9, 2026 · 28 min · 8 segments
In this episode of InfoSec Insider, George Ryan and Jack Woods, both Consultants at URM, break down the key steps to establishing control over the use of artificial intelligence (AI) within…
Jack WoodsGuestAnnieHostSo my first question for you guys is, why should organisations be paying attention to AI right now? And why did it suddenly appear to grow legs out of nowhere?
Yes, I think one of the big things that you just kind of have to accept as an organisation is whether you like it or not.
it's very high chance someone within your organization is going to be using AI, whether that's personal or under a corporate account.
You don't quite know, which is obviously, as we'll cover later, why we have the controls there.
Kind of like we wake up one day and there's, you know, chat GPT and then everything else came in and it was suddenly like, oh, actually I'll use AI now.
And, you know, for a lot of people, you tell them to Google something, they're like, you mean to use chat gpt or copilot and what is it to google um essentially i think what kind of happened because ai has been around for ages i believe as far back as the 1940s um obviously didn't have chat gpt or anything back then but um essentially what happened is public visibility increased so you know company comes out ai suddenly in the public realm All of the others kind of scramble because it's a case of, hang on, you know, there's an open race here to be the first one that the public sees AI.
And that's kind of why at the start we had AI that was generating people with six fingers, et cetera, and quite terrible images and why suddenly we're seeing it just continually rise and how much it can actually do.
and I think that's probably the key thing for organizations and why they should be paying attention is that if they aren't there's a risk of falling behind everyone else.
And it's a case of, well, if we had to go out and do some supply due diligence on those, it's going to be quite scary if they've got no background or anything like that.
But like I say, the risk of falling behind may outweigh the risk of implementing a tool that isn't necessarily going to do what it says that it's going to.
It's just that it's Recent breakthroughs have made it a lot more usable for non experts.
The large language models like chat GPT and stuff like that have made it a bit easier for everyone that isn't an expert to be able to just use those tools and get the answers that they want.
and while those answers are getting better sometimes they aren't still always correct so um it's always worth kind of making sure that if you are going to be using ai to make sure that you are using it and kind of make sure your sense checking it a little bit
So my first question for you guys is, why should organisations be paying attention to AI right now? And why did it suddenly appear to grow legs out of nowhere?
Yes, I think one of the big things that you just kind of have to accept as an organisation is whether you like it or not.
it's very high chance someone within your organization is going to be using AI, whether that's personal or under a corporate account.
You don't quite know, which is obviously, as we'll cover later, why we have the controls there.
Kind of like we wake up one day and there's, you know, chat GPT and then everything else came in and it was suddenly like, oh, actually I'll use AI now.
And, you know, for a lot of people, you tell them to Google something, they're like, you mean to use chat gpt or copilot and what is it to google um essentially i think what kind of happened because ai has been around for ages i believe as far back as the 1940s um obviously didn't have chat gpt or anything back then but um essentially what happened is public visibility increased so you know company comes out ai suddenly in the public realm All of the others kind of scramble because it's a case of, hang on, you know, there's an open race here to be the first one that the public sees AI.
And that's kind of why at the start we had AI that was generating people with six fingers, et cetera, and quite terrible images and why suddenly we're seeing it just continually rise and how much it can actually do.
and I think that's probably the key thing for organizations and why they should be paying attention is that if they aren't there's a risk of falling behind everyone else.
And it's a case of, well, if we had to go out and do some supply due diligence on those, it's going to be quite scary if they've got no background or anything like that.
But like I say, the risk of falling behind may outweigh the risk of implementing a tool that isn't necessarily going to do what it says that it's going to.
It's just that it's Recent breakthroughs have made it a lot more usable for non experts.
The large language models like chat GPT and stuff like that have made it a bit easier for everyone that isn't an expert to be able to just use those tools and get the answers that they want.
and while those answers are getting better sometimes they aren't still always correct so um it's always worth kind of making sure that if you are going to be using ai to make sure that you are using it and kind of make sure your sense checking it a little bit
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