WEBVTT

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Today on our Tech for Business podcast, it is

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Cybersecurity Awareness Month, and we're going

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to dive into the lovely buzzword of deepfakes.

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So we're joined by Todd, our COO and CISO, and

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Nate, our Director of Cybersecurity. I think

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our listeners know what deepfakes are, but I

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guess we could give them the elevator pitch and

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maybe just some examples of where they might

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see it or where you have seen it. I can open

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up this time. So deepfakes are when you use artificial

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intelligence to impersonate someone. Right. This

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goes back quite some time. I remember seeing

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a video from Adobe when they were first introducing

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some of their voice cloning technology. Right.

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At the time, it was mind blowing because they

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would kind of record the audio from the presenter

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and then they changed the the the words they

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were able to type it out and have it speak back

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and I think on that on stage they changed it

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to basically say that that the speaker kissed

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someone other than his wife or something and

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everyone's mind was blown that how dare he say

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something along those lines right that was like

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10 years ago I don't I don't have the day we

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can find that but The tech has greatly evolved

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right you know by this point. I think everyone

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knows AI is here It's it's revolutionizing kind

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of how we work how we think that type of stuff

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Where the deep fakes have done really good now

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is video so in the past audio was easy You know

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you you don't need to do much to impersonate

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a voice There's even free services on this and

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I've I've done printing sessions on Grandpa,

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if you ever receive a call from me sounding like

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I'm in jail, let me run. Don't pay the demand,

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right? But with the video is where now it's starting

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to blur the line of what's reality and what's

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not. So if you spend any time on the internet,

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like let's say Reddit or YouTube or Facebook,

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this information is running rampant with the

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fakes. Where we start to see this also become

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dangerous is that there's also been articles

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out there that will say North Korea is using

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deep fake technology to gain jobs at U .S. tech

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companies to then further, you know, basically

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what they're doing is they're taking this technology,

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sorry, they're using deep fakes, gain jobs, receive

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a salary, which then is going back to the North

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Korean weapons program. And that's essentially

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how they're now siphoning money from the U .S.

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to fund their activities. Yeah. Todd, is this

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something that the average business owner should

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be concerned about? Or is this kind of like an

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enterprise business issue? Well, I would say

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I'm sure there's all kinds of examples. I was

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kind of trying to figure out what to add into

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it. And I and I. Bear with me as my train of

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thought goes running rampant on me and I was

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kind of going What's the difference between a

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deep fake and an AI slop? But if I answer the

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other question is I mean, there's so much stuff

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that's AI driven and it's it's mildly interesting

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to me as I Scroll through social media or whatever

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the case may be and there's currently enough

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obvious stuff where I'm like, well, that's that's

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obviously AI AI AI I don't think that's going

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to last much more than a year and then it's going

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to be incredibly difficult to see it. So I think

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the threat is real. And I do think every business

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owner needs to be aware of it. Now, whether it's

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as relatively generic as something as we're just

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trying to pull some revenue from an organization

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to help funnel our desires, maybe one thing,

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but it could be something much more heinous than

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that too, right? I mean, in theory, if you're

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hiring an IT individual remotely, And that person

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now gets credentials to your network, your host.

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But it could be anything else too. I mean, we

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had a retirement party at the office this morning,

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and somebody had mentioned they were buying a

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bunch of gift cards with their reward points.

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And someone was like, well, great. When the CEO

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asks for you to get a whole bunch of gift cards

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for them, you're all set. Keep going down this

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path because you know what happens when it's

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a video of your CEO Hey, I need you to help me

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out Nate. Can you get me some gift cards? Those

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kinds of things are completely possible, right?

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It's your voice. It's your face. It's everything.

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It's the mannerisms So yeah, I think the thread

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is real. It is something that is it's something

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that everybody faces You know, I've done speaking

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engagements in the past and they kind of mentioned

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the one with his grandfather is there is a generation

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of people in the United States and probably everywhere,

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where they are pretty unsure of what's going

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on from a technology aspect. And something like

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this can be used to siphon millions of dollars

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away from a certain demographic of our nation.

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So not just business -wise, I think it impacts

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everybody. I know this is getting a little bit

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deeper into it. So we can come back to your question

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as well. I do want to call out, it's not all

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nefarious either. There are legitimate business

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cases where deepfakes may be useful. Joking aside,

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let's say, you know, Ariel already has a lot

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of content of me talking and speaking, right?

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We've rehashed certain ideas. So there's multiple

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ways that I've said things. This would be a great

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time to fire me and just say, I'm going to now

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have a AI deepfake Nate for the podcast and save

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money, right? So what? But I say that because

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we are starting to see a lot of marketing campaigns

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switch to using AI generated video. Maybe it's

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not a deep fake necessarily, but AI video again

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has become really good at this point. So there

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are still some telltale signs that maybe we can

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talk about of how to identify this stuff in multiple

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avenues. But. When it comes to. legitimate business

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cases is now you're seeing advertising agencies

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save significant amounts of money because they

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don't need to go to a casting director or hire

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the actors develop the script anything like that

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they just have to say put in a good -looking

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individual that looks like this in this type

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of scenery and says these things and they might

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get a really nice video with only a couple hours

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at work, and it still provides the same type

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of impact to its consumers. No, you've got other

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things, but I can't help it. I don't want to

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get into specifics because I don't want to raise

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any alarms, and I don't want anybody to get upset.

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But I've seen videos, and Nate kind of mentioned

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this, so I'm tipping my hand slightly a little

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bit, but there's a video of a very prominent

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political figure in the United States where it's

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pretty obvious there's been posts where they're

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doing, whether you want to call it the AI avatar

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or other, it looks like them specifically but

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if you watch the video you can see certain things

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so they do hand gestures and in case you're not

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on video I'm doing hand gestures and two of the

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fingers on one of his hands so now I notice he

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blends into one so those are the kinds of things

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that are going on there but but if you weren't

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really looking for it you probably wouldn't have

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even noticed but it's happening so it's it's

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happening today there is real stuff that's out

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there that that avatar it's just quick it's easy

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it's getting the right message across in the

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same fat manner that you wanted to so it does

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exist i actually saw an article and i did not

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dig into it this morning uh but i saw that there

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is an ai actress kind of to nate's point that's

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drawing a lot of interest from hollywood and

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i was like well how how does an ai actress draw

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interest from a studio anyways if you're curious

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the name is tilly norwood i believe um but the

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This is an AI actress. And to Nate's point is

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it's pretty quick that you can start to use this

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type of technology to do all kinds of stuff,

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new movies, new whatever. And it can be a totally

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generic individual. That's interesting. I'll

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have to look that up because just like who has

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ownership over that, you know, there's like probably

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a marketing or an artist person on the side.

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It's such an interesting concept. I'd love to

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dive into sort of spotting these things. and

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what you're looking for, Todd kind of transition

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us in that direction. So when you're dealing

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with, you know, interviews or phone calls or

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things like that, what are really those big things,

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big red flags? Yeah. So with this is becoming

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a challenge because AI is getting better. So

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I'll talk about it as in, you know, within the

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last six months or so is AI, sorry, people are

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predictable, but they also differ right from

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time to time. So I have a common cadence to my

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tone and how I communicate. But every once in

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a while, I will change things up right on the

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fly without having to have any rhyme or reason

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of why I do so. Now the AI is going to kind of

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common patterns and try and stitch that together

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and you can tune it to maybe sound a little bit

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different. Sometimes it will struggle with certain

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intonations. Maybe, you know, it always gives

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it a hard T or a hard S and it might sound a

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little bit jarring. Other times, it'll often

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put the same spacing in between each words. And

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so the computer is basically taking a word, plopping

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it down, taking the next word, plopping it down,

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and it's reading it like a book, right? There's

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always one space. What we know is that people

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will sometimes put longer pauses like that. And

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so that's where people become a little unpredictable.

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So if you can follow something that sounds like

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a very common cadence or, you know, standard,

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you know, repeatable cadence, it could be a telltale

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sign. One of the other traits of audio is if

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you are interacting with a deep fake. it has

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to do its processing on the back end to be able

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to respond back. And so if I were to go ask you

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a question and you pause for one, two, and then

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respond, then at that point it could be a defake.

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Maybe, maybe not. The one thing I do want to

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be careful because I was just doing some interviews

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over the past week is while you're trying to

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identify potential defects, which again are going

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to be that common, Do not inherently discredit

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someone else's standard cadence or thought patterns.

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There are people that may actually need to take

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a second or two to communicate or process their

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thoughts before communicating effectively. So

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I just want to put that in there because I think

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there is a lot of bias when hiring and I don't

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want to rule out you discrediting good. because

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you're looking for a AI deep fake, and then coming

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to me saying, Nate, he told me that this person

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is fake, right? I think it's really important

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to kind of highlight what Nate said, so I'm going

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to do it again. As of the first week of October

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in 2025, this is where we stand with spotting

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it. And I say this because I went to a conference

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back in May, so we're not too far along back,

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and there was some AI stuff that was going on,

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and I was like, that is so... ridiculously obvious

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that it's AI. In this one example, there was

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no blinking. None. The AI did not blink once,

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and I was like, well, that was so ridiculously

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obvious as to the fact that that's not real.

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You don't even see that. It's only been a couple

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of months. That's been corrected. That doesn't

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exist anymore. So just kind of highlighting,

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this is a moment of time. This is where AI deep

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fakes are at the moment. Some of the stuff, depending

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on what you're looking at, I think you'll see

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varying results. For example, on social media,

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as I said, is your doom scrolling or whatever.

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Some of the things that are fairly obvious, the

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skin tone tends to be weird. The lighting tends

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to be odd. You get shiny reflections that don't

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make sense. People are unnaturally beautiful

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and have perfect bodies. They're fairly obvious

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when you're looking at it. You're like, that's

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not real. No advertising agency would ever pick

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me. But those ones are relatively easy to spot

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as of today. Now, things that still do happen

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is you'll see weird eye movement. You will see,

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as Nate mentioned, there'll be some some herky

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jerkiness. I think the if you're interacting

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one. The one that Nate mentioned, the pausing

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is pretty obvious. To me, it's fairly obvious.

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The other one that I think is kind of funny is,

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is one of the things that AI is starting to do

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to kind of cover up the strange cadence is it'll

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put in a, every once in a while, you're like,

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that doesn't actually fit there. That's bizarre.

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So those things kind of will be pretty obvious.

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Again, at the moment, there is some of the light

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lip syncing things that happened today. You don't

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see that quite as much on video just because

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of the inherent nature. where that's off as much

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but I think we kind of nailed the vast majority

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of them and again most of this is as of today

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I think it's getting better so much quicker but

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as Nate mentioned the one that's really obvious

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is when you're interacting with it there is a

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typical half second one second pause of it's

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taking that that message and saying how am I

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going to respond it's trying to predict anyway

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but it has to make sure it's got it the right

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context before it responds so there is usually

00:14:02.179 --> 00:14:04.990
a bit of a delay in it. But again, it's not a

00:14:04.990 --> 00:14:07.529
perfect solution. You know this is always incorrect

00:14:07.529 --> 00:14:09.149
because someone took a moment to gather their

00:14:09.149 --> 00:14:12.490
thoughts. There are other telltale signs. I can't

00:14:12.490 --> 00:14:13.690
find it right now. I was trying to find it while

00:14:13.690 --> 00:14:17.210
you're talking. And it was some commercial for

00:14:17.210 --> 00:14:20.330
a drink. I don't know if it was Fanta or whoever.

00:14:21.090 --> 00:14:25.470
But when you look at the AI actress's hair, it

00:14:25.470 --> 00:14:27.970
doesn't follow the physics that you would expect.

00:14:28.450 --> 00:14:32.110
Things kind of float and flow just a little too

00:14:32.110 --> 00:14:34.370
much. And if you look at the physics of that,

00:14:34.710 --> 00:14:39.169
yeah, that doesn't look great. We know that when

00:14:39.169 --> 00:14:43.450
you look at generated content, things like water

00:14:43.450 --> 00:14:46.490
doesn't flow well. Hair has historically been

00:14:46.490 --> 00:14:51.049
a question of whether or not it's accurate. It's

00:14:51.049 --> 00:14:53.970
gotten a lot better. But even in the most recent

00:14:53.970 --> 00:14:57.190
AI advertising, it's how much time and money

00:14:57.190 --> 00:15:00.269
does that advertising agency want to put in to

00:15:00.269 --> 00:15:02.830
make it look perfect? if they already are delivering

00:15:02.830 --> 00:15:07.409
the same type of messaging. Right. Yeah. I'll

00:15:07.409 --> 00:15:09.110
kind of expand just a little bit too. There are

00:15:09.110 --> 00:15:10.909
certain things too, and Nate and I are really

00:15:10.909 --> 00:15:13.509
good at it. Ariel would be a much tougher person

00:15:13.509 --> 00:15:15.529
to figure out if it's AI, but Nate and I both

00:15:15.529 --> 00:15:18.370
have quite a few hands gestures that pop up on

00:15:18.370 --> 00:15:23.200
video. So AI is not going to map that out very

00:15:23.200 --> 00:15:25.159
well. So I think those ones are fairly obvious,

00:15:25.419 --> 00:15:28.580
too. But as I mentioned earlier, there is stuff

00:15:28.580 --> 00:15:32.039
where you can see blurring of and blending of

00:15:32.039 --> 00:15:35.159
fingers. So another one I saw, somebody had six

00:15:35.159 --> 00:15:37.279
fingers on their hand. And no, this is not a

00:15:37.279 --> 00:15:41.000
reference to Princess Bride. But it does happen.

00:15:41.679 --> 00:15:44.320
There was an article that came out, and already

00:15:44.320 --> 00:15:49.340
it's kind of slowly becoming obsolete. they were

00:15:49.340 --> 00:15:52.379
talking about when you're interacting with like

00:15:52.379 --> 00:15:55.139
a deepfake like in an interview asking them to

00:15:55.139 --> 00:15:59.320
do something to like stand up or to move or there

00:15:59.320 --> 00:16:01.679
was an article talking about kind of going back

00:16:01.679 --> 00:16:05.100
to a little bit more basic technology like if

00:16:05.100 --> 00:16:09.539
you're on a phone sending a code word or just

00:16:09.539 --> 00:16:12.799
the same thing as like an MFA with someone like

00:16:12.799 --> 00:16:16.519
can you say the code that I texted you you know

00:16:16.669 --> 00:16:19.190
So can you talk a little bit about what are some

00:16:19.190 --> 00:16:21.769
of the steps we can take to make sure we're not

00:16:21.769 --> 00:16:25.570
falling for these things? I was trying to find

00:16:25.570 --> 00:16:28.289
another article here. We can put it in the show

00:16:28.289 --> 00:16:31.809
notes. There's a article about how a North Korean

00:16:31.809 --> 00:16:34.909
fake IT worker tried to get hired at Know Before.

00:16:35.230 --> 00:16:38.340
So Know Before is a phishing and security training

00:16:38.340 --> 00:16:40.379
platform. You know, many of our customers use

00:16:40.379 --> 00:16:43.779
it. There was some anomalies that kind of showed

00:16:43.779 --> 00:16:46.840
up when trying to work with this individual.

00:16:47.240 --> 00:16:49.340
I don't remember all the specifics because I

00:16:49.340 --> 00:16:53.580
remember it was from last year. But I would say

00:16:53.580 --> 00:16:58.580
a couple of the items is how do you monitor output

00:16:58.580 --> 00:17:01.600
of your employees? Right. So let's say, yes,

00:17:01.779 --> 00:17:05.559
you hired a deep fake in North Korean. you know,

00:17:05.700 --> 00:17:09.200
tech workers, it could be anywhere. What type

00:17:09.200 --> 00:17:12.299
of output are they getting, right? Interesting,

00:17:12.460 --> 00:17:14.920
yeah. You should have some way of measuring employee

00:17:14.920 --> 00:17:19.380
success. Now, I am vehemently opposed to what

00:17:19.380 --> 00:17:22.619
I consider spyware of just putting on all your

00:17:22.619 --> 00:17:25.339
employees' software or your computers and taking

00:17:25.339 --> 00:17:27.720
screenshots and keyloggers. I think that's wrong.

00:17:28.559 --> 00:17:30.920
You should have a good way of measuring employee

00:17:30.920 --> 00:17:33.240
productivity without needing to go down that

00:17:33.240 --> 00:17:37.579
route. I will call out the safeguards is you

00:17:37.579 --> 00:17:40.480
do hire the wrong person. How do you prevent

00:17:40.480 --> 00:17:43.779
new software from being loaded onto your workstations

00:17:43.779 --> 00:17:47.920
or devices in the event that you do make a mistake

00:17:47.920 --> 00:17:50.220
and hire that person, right? This is where tools

00:17:50.220 --> 00:17:52.740
like the application allow listing are going

00:17:52.740 --> 00:17:55.079
to come into play and very, very critical. If

00:17:55.079 --> 00:17:57.140
anyone tries running anything new, are you able

00:17:57.140 --> 00:17:59.359
to get an alert saying someone's running new

00:17:59.359 --> 00:18:02.119
malicious software in your environment? Taking

00:18:02.119 --> 00:18:05.680
a step backwards is, those are all reactionary,

00:18:05.839 --> 00:18:08.299
right? Now, what do you actually throw actively

00:18:08.299 --> 00:18:10.960
to try and prevent this in the first place? There

00:18:10.960 --> 00:18:13.380
are various tools that are coming up of, you

00:18:13.380 --> 00:18:15.799
know, okay, let's run a extended social security

00:18:15.799 --> 00:18:19.039
trace, you know, taking a look to see, does this

00:18:19.039 --> 00:18:23.279
person have a history of predictable employment

00:18:23.279 --> 00:18:26.240
history, right? As I see they grabbed a couple

00:18:26.240 --> 00:18:29.099
of, we're based out of Minnesota here, so. Have

00:18:29.099 --> 00:18:31.180
they worked at several Minnesota -based jobs

00:18:31.180 --> 00:18:34.140
or are they kind of a global nomad picking jobs

00:18:34.140 --> 00:18:37.099
wherever they may be? It's not a disqualifier,

00:18:37.279 --> 00:18:41.980
maybe a red or a yellow flag to consider. What

00:18:41.980 --> 00:18:45.559
about some type of background check? Does it

00:18:45.559 --> 00:18:48.779
come back with much history or not, right? Is,

00:18:48.900 --> 00:18:51.339
sorry, not employment records, but, you know,

00:18:51.640 --> 00:18:53.900
residence records, you know, do they kind of

00:18:53.900 --> 00:18:56.500
follow a standard pattern of where they've lived

00:18:56.500 --> 00:18:59.380
or are they just popping up again all over the

00:18:59.380 --> 00:19:01.660
world and maybe those don't always align with

00:19:01.660 --> 00:19:05.779
the employment history. So if you're a technical

00:19:05.779 --> 00:19:08.940
recruiter or an HR individual, you've got more

00:19:08.940 --> 00:19:11.640
work to do, I'm sorry. And now you are playing

00:19:11.640 --> 00:19:13.920
into a little bit of this anomaly detection.

00:19:14.559 --> 00:19:17.500
There are tools out there, partnering with any

00:19:17.500 --> 00:19:19.920
of them, you know, for this podcast or anything,

00:19:20.500 --> 00:19:24.099
that do partner in with your HR background check

00:19:24.099 --> 00:19:27.930
software to provide additional validation. And

00:19:27.930 --> 00:19:32.329
even on calls, maybe like a Teams call or a Zoom

00:19:32.329 --> 00:19:36.470
call that can identify when there is some type

00:19:36.470 --> 00:19:39.609
of anomaly. And on the fly on the side, say,

00:19:40.190 --> 00:19:44.069
suspect a deep fake. Maybe either stop the call

00:19:44.069 --> 00:19:46.970
or to aerial your point. Hey, can you stand up

00:19:46.970 --> 00:19:50.410
for a second? You know, and provide that additional

00:19:50.410 --> 00:19:53.660
challenge. Yeah, all excellent things. I think

00:19:53.660 --> 00:19:56.460
the interacting in a video is very specific.

00:19:56.640 --> 00:19:58.140
I mean, there are other things that I think are

00:19:58.140 --> 00:20:00.819
worthy. So if you're doing, this is just general

00:20:00.819 --> 00:20:03.299
stuff, right? If you're getting AI content, you'll

00:20:03.299 --> 00:20:04.880
often see the hyphen in the middle of words.

00:20:05.000 --> 00:20:06.799
If you're like, people don't hyphen like that,

00:20:07.000 --> 00:20:09.829
AI does. So there's things like that too, but

00:20:09.829 --> 00:20:11.769
I think the video example of doing something

00:20:11.769 --> 00:20:14.910
unusual, some unusual emotion is a great first

00:20:14.910 --> 00:20:17.630
thing. The other really good one I would have

00:20:17.630 --> 00:20:20.410
is stay skeptical just in general. It does make

00:20:20.410 --> 00:20:23.309
sense. One of the other things that I would typically

00:20:23.309 --> 00:20:28.490
keep front of mind is the interview is also very

00:20:28.490 --> 00:20:32.509
specific, but historically I would say AI, a

00:20:32.509 --> 00:20:35.970
deep fake in particular, it's a method of social

00:20:35.970 --> 00:20:38.890
engineering. What you're going to see with it

00:20:38.890 --> 00:20:41.750
is the same thing that you almost always see,

00:20:42.029 --> 00:20:43.730
which is there's going to be a sense of urgency.

00:20:43.829 --> 00:20:45.529
There's always going to get you to try and do

00:20:45.529 --> 00:20:48.869
something. And so all the things that we've preached

00:20:48.869 --> 00:20:51.250
in the past when it comes to social engineering,

00:20:51.589 --> 00:20:53.769
you still need to be aware of. Doesn't matter

00:20:53.769 --> 00:20:56.869
that it's a video now. It's just, you know, why

00:20:56.869 --> 00:20:58.950
am I feeling this pressure? Why is this getting

00:20:58.950 --> 00:21:01.930
amped up? What's going on? And use the typical

00:21:01.930 --> 00:21:03.809
methods you'd have to kind of de -escalate the

00:21:03.809 --> 00:21:07.660
situation. I mean... ultimately your typical

00:21:07.660 --> 00:21:10.920
good security things need to still stay in place

00:21:10.920 --> 00:21:12.799
so you know if someone's trying to get money

00:21:12.799 --> 00:21:14.920
from you or get logging information if it was

00:21:14.920 --> 00:21:16.759
somebody trying to interact with you like they're

00:21:16.759 --> 00:21:19.339
the IT department making sure you've got multi

00:21:19.339 --> 00:21:21.559
-factor authentications and then all of all those

00:21:21.559 --> 00:21:24.339
things all still make sense they're all super

00:21:24.339 --> 00:21:26.779
urgent things that you need to be doing so don't

00:21:26.779 --> 00:21:28.599
take your eye off the ball just because you got

00:21:28.599 --> 00:21:31.509
a video interface with somebody I wanna make

00:21:31.509 --> 00:21:33.410
sure you both get a chance to share anything

00:21:33.410 --> 00:21:36.170
that you'd like. But earlier in the podcast,

00:21:36.349 --> 00:21:39.670
we referenced using fake or I would say generative

00:21:39.670 --> 00:21:44.730
AI in this case more ethically for marketers

00:21:44.730 --> 00:21:50.009
or creators or businesses that do want to use

00:21:50.009 --> 00:21:54.369
these tools in a professional and ethical way.

00:21:54.599 --> 00:21:58.119
So what are some rules of thumb you would share

00:21:58.119 --> 00:22:03.119
if a business wants to use this technology? Well,

00:22:03.380 --> 00:22:07.740
sorry, I'm going to start with the ethical guidelines,

00:22:07.880 --> 00:22:10.240
the guide rails, if you will. Hypothetically,

00:22:10.319 --> 00:22:11.900
it doesn't matter if it's an internal person,

00:22:11.920 --> 00:22:14.440
and I'll just say, like Nate did, I'll use myself.

00:22:14.660 --> 00:22:18.000
If you were going to use an AI avatar of myself,

00:22:18.079 --> 00:22:20.299
you need to make sure that the consent is there,

00:22:20.319 --> 00:22:22.759
that I absolutely agree that it's OK that you

00:22:22.759 --> 00:22:24.980
can use the likeness in this manner. You want

00:22:24.980 --> 00:22:27.099
to make sure you're not misleading or harming

00:22:27.099 --> 00:22:29.400
the individual or wherever you're going with

00:22:29.400 --> 00:22:32.660
it. You probably should disclose that this is

00:22:32.660 --> 00:22:35.700
synthetic media. So those just are kind of general

00:22:35.700 --> 00:22:38.559
guide rails of you should probably at least start

00:22:38.559 --> 00:22:40.920
here. But when it comes to examples, I think

00:22:40.920 --> 00:22:43.299
the best one that I have that I go that that

00:22:43.299 --> 00:22:46.319
makes a ton of sense would be marketing. So for

00:22:46.319 --> 00:22:48.460
example, in a situation like this where we would

00:22:48.460 --> 00:22:51.799
say this is very expensive for us to have myself

00:22:51.799 --> 00:22:55.079
and Nate on a podcast. And we want to limit that

00:22:55.079 --> 00:22:58.339
expense and or Nate and Todd are super busy or

00:22:58.339 --> 00:23:00.759
Nate and Todd went on a cruise in the Caribbean

00:23:00.759 --> 00:23:03.259
for a security event. Any of those reasons would

00:23:03.259 --> 00:23:05.660
be good reasons to have an AI avatar to come

00:23:05.660 --> 00:23:08.259
in and help out with the podcast. You know, another

00:23:08.259 --> 00:23:10.119
one that pops in my head is similar, right? It

00:23:10.119 --> 00:23:12.799
would be like a training situation where it's

00:23:12.799 --> 00:23:14.680
it's front of the classroom. Let me get a quick

00:23:14.680 --> 00:23:16.339
video in. That would be another good example

00:23:16.339 --> 00:23:18.789
for me. I've been trying for two years to get

00:23:18.789 --> 00:23:22.029
Todd on that security cruise. So I think that's

00:23:22.029 --> 00:23:25.490
an implication or next year we're going. So come

00:23:25.490 --> 00:23:28.470
February or so, if you see an aerial mark, this

00:23:28.470 --> 00:23:31.630
is synthetic video. You know, Todd and I are

00:23:31.630 --> 00:23:35.490
working hard on a cruise. With, I'll touch on

00:23:35.490 --> 00:23:38.430
some of the laws. So no surprise laws laying

00:23:38.430 --> 00:23:41.950
behind tech. The last time I checked, again,

00:23:42.069 --> 00:23:46.769
I'm not a lawyer and I don't. regularly stay

00:23:46.769 --> 00:23:49.250
on top of the most latest laws. But the last

00:23:49.250 --> 00:23:50.890
time I had checked, which I believe was back

00:23:50.890 --> 00:23:55.190
in May, it was not illegal to use deep fake technology.

00:23:55.529 --> 00:23:57.650
Now, you know, where it comes in to Todd's point

00:23:57.650 --> 00:24:00.269
is the things like libel and that type of stuff.

00:24:00.829 --> 00:24:04.230
It is illegal and they do call it out to use

00:24:04.230 --> 00:24:06.849
deep fake technology to influence the election

00:24:06.849 --> 00:24:11.549
campaigns and results. So the laws have already

00:24:11.549 --> 00:24:14.289
caught up to that part of it. So but yeah, in

00:24:14.289 --> 00:24:19.779
general. there are ethical guidelines that we

00:24:19.779 --> 00:24:23.640
should all adhere to. Technically, you can do

00:24:23.640 --> 00:24:27.700
most of whatever you want, right? So to your

00:24:27.700 --> 00:24:30.940
point in where you would want to use this, internal

00:24:30.940 --> 00:24:34.559
resources would be a great use of this. So how

00:24:34.559 --> 00:24:38.180
much time does it take to provide internal training

00:24:38.180 --> 00:24:40.359
to your employees? That's also very expensive.

00:24:40.440 --> 00:24:43.940
We know that the cost to onboard a new employee

00:24:44.349 --> 00:24:47.390
is approximately one and a half times their salary

00:24:47.390 --> 00:24:50.130
right there's there's plenty of studies out there

00:24:50.130 --> 00:24:53.710
that you can go look at and so and the reason

00:24:53.710 --> 00:24:57.069
why is you have that initial employee and you

00:24:57.069 --> 00:25:00.009
have to take you know their mentor trainer and

00:25:00.009 --> 00:25:02.289
go run them through that entire training to bring

00:25:02.289 --> 00:25:05.670
them up to speed lost efficiencies what if you

00:25:05.670 --> 00:25:07.829
could take your written content that you've already

00:25:07.829 --> 00:25:11.829
generated and i'll pick on ai a little bit is

00:25:11.829 --> 00:25:16.250
a Copilot, Gemini, whatever platform you're using.

00:25:17.089 --> 00:25:21.930
Go generate a basic call script and how to interact

00:25:21.930 --> 00:25:25.289
with our customers, right? Now you can take that,

00:25:25.490 --> 00:25:28.269
run it into another technology that does video

00:25:28.269 --> 00:25:31.769
generation and say, turn this into a training

00:25:31.769 --> 00:25:34.930
for new employees, right? I want you to be personable.

00:25:35.029 --> 00:25:37.410
I want you to, you know, connect with them, make

00:25:37.410 --> 00:25:41.190
them feel welcome, right? Now you've essentially

00:25:41.190 --> 00:25:45.230
have a onboarding trainer that's AI driven or

00:25:45.230 --> 00:25:48.869
deepfake driven. You don't have to go pay for

00:25:48.869 --> 00:25:51.309
an employee to sit there and record those videos

00:25:51.309 --> 00:25:53.529
either. And at the end of the day, it doesn't

00:25:53.529 --> 00:25:55.349
really matter whether or not you have it or not.

00:25:55.589 --> 00:25:58.349
That's just a nice small touch to make an employee

00:25:58.349 --> 00:26:01.650
feel a little bit more welcome rather than just

00:26:01.650 --> 00:26:05.490
handing them a big document and say, read the

00:26:05.490 --> 00:26:09.220
72 pages that we wrote up for you, right? So

00:26:09.220 --> 00:26:11.819
little touches like that can go a long way. I

00:26:11.819 --> 00:26:15.839
mean, AI is amazing. We love it. It can do amazing

00:26:15.839 --> 00:26:19.400
things. As we close out here, the thing that's

00:26:19.400 --> 00:26:24.680
on my mind is, do you think there will come the

00:26:24.680 --> 00:26:28.160
bell curve and kind of the other side of this

00:26:28.160 --> 00:26:33.910
where are almost capitalizing on not using AI.

00:26:34.069 --> 00:26:36.309
Now, is there going to come a point where low

00:26:36.309 --> 00:26:41.130
tech is going to be popular? Go ahead, Nick.

00:26:41.589 --> 00:26:44.250
Yeah, sorry. I want to reference back the old

00:26:44.250 --> 00:26:47.569
podcast. I don't have the exact one. I'm subscribed

00:26:47.569 --> 00:26:50.630
to CIT's YouTube and it comes across, you know,

00:26:50.750 --> 00:26:53.769
as aerial blasts of all of our podcasts. But

00:26:53.769 --> 00:26:57.789
there was one about AI and tech. So I want to

00:26:57.789 --> 00:27:02.079
call out for CIT, right, to summarize. class

00:27:02.079 --> 00:27:06.059
that technology and automation go hand in hand,

00:27:06.240 --> 00:27:09.680
right? AI and automation go hand in hand. But

00:27:09.680 --> 00:27:12.960
at the end of the day, our customers expect a

00:27:12.960 --> 00:27:17.319
human response to be able to get the context,

00:27:17.460 --> 00:27:20.000
get the awareness, hear your frustrations with

00:27:20.000 --> 00:27:22.980
tech, right? That's why we're here to help solve

00:27:22.980 --> 00:27:25.259
the business problems and get tech out of your

00:27:25.259 --> 00:27:28.319
way to be able to assist with that. Now, if you

00:27:28.319 --> 00:27:31.000
have to talk to an AI that's missing all that

00:27:31.000 --> 00:27:34.259
rich context, that's not going to help you. So

00:27:34.259 --> 00:27:38.400
there is value of still driving the human touch

00:27:38.400 --> 00:27:41.359
to things. The value of AI and some of these

00:27:41.359 --> 00:27:43.799
deepfakes and you know, that type of stuff. Again,

00:27:44.140 --> 00:27:45.740
kind of like the training documentation that

00:27:45.740 --> 00:27:51.059
I called out is help use that to automate the

00:27:51.059 --> 00:27:53.440
efficiencies to things that don't really matter.

00:27:53.599 --> 00:27:55.920
Right, but the things that are critical to the

00:27:55.920 --> 00:27:59.359
business or critical to how people interact with

00:27:59.359 --> 00:28:03.319
you always have the human touch. Yeah, my answer

00:28:03.319 --> 00:28:06.440
would be I think it's inevitable that there will

00:28:06.440 --> 00:28:08.359
be something that comes in and it's, you know,

00:28:08.500 --> 00:28:11.420
kind of like the probably a terrible analogy,

00:28:11.640 --> 00:28:13.480
but the first one that came to mind is made in

00:28:13.480 --> 00:28:15.740
America, right? Or organic food might be another

00:28:15.740 --> 00:28:18.059
one where there was kind of this call of going

00:28:18.059 --> 00:28:22.059
back to this natural way of doing things. the

00:28:22.059 --> 00:28:24.200
actress that I mentioned earlier would be another

00:28:24.200 --> 00:28:26.140
one where you'll want to say you know this video

00:28:26.140 --> 00:28:28.400
was made with only humans only those kinds of

00:28:28.400 --> 00:28:30.619
things it seems inevitable that yeah you will

00:28:30.619 --> 00:28:33.980
definitely see some push that says I want it

00:28:33.980 --> 00:28:36.259
to be a human that I'm interacting with you know

00:28:36.259 --> 00:28:38.259
there there will be somebody like if you're using

00:28:38.259 --> 00:28:40.759
AI as a potential thing where you could potentially

00:28:40.759 --> 00:28:42.859
do this or you can use it for taking phone calls

00:28:42.859 --> 00:28:44.539
right you don't like talking to the computer

00:28:44.539 --> 00:28:46.400
and people are yelling on the phone representative

00:28:46.400 --> 00:28:50.569
representative you may find somebody I will not

00:28:50.569 --> 00:28:52.509
do business with somebody where I have to talk

00:28:52.509 --> 00:28:55.670
with an AI voice to get to a real person. I think

00:28:55.670 --> 00:29:00.450
that would absolutely happen. For sure. I think

00:29:00.450 --> 00:29:03.369
one of the other things is AI, right? It's always

00:29:03.369 --> 00:29:07.089
so validating back to you because it wants to

00:29:07.089 --> 00:29:10.490
keep you engaged, right? There's a full open

00:29:10.490 --> 00:29:14.069
AI lawsuit about this right now. It's always

00:29:14.069 --> 00:29:17.170
making you feel good to try and keep you on the

00:29:17.170 --> 00:29:20.569
platform. I'll pick on tech and on the help desk

00:29:20.569 --> 00:29:23.049
side of things as well as sometimes when you

00:29:23.049 --> 00:29:25.869
call in for support, you don't want to hear the

00:29:25.869 --> 00:29:28.950
tech go, how are you? You're having a great day,

00:29:28.950 --> 00:29:31.910
right? You just want them to go, I understand.

00:29:32.309 --> 00:29:34.450
Yeah, something's messed up. Let's let's just

00:29:34.450 --> 00:29:36.589
knock it out. Right. I don't know if the A .I.

00:29:36.589 --> 00:29:39.349
is going to get to that point and just be real

00:29:39.349 --> 00:29:42.109
with you. But that's where I think that human

00:29:42.109 --> 00:29:44.849
touch is, again, really important. We're not

00:29:44.849 --> 00:29:47.500
trying to validate. every emotion, we're just

00:29:47.500 --> 00:29:50.700
trying to touch on it, help you out, reduce the

00:29:50.700 --> 00:29:52.779
frustration, but ultimately solve the issue so

00:29:52.779 --> 00:29:54.880
you don't have to deal with it again. Perfect.

00:29:55.059 --> 00:29:57.420
Yeah, that's a great place to kind of end that

00:29:57.420 --> 00:30:00.460
highlight between balancing the human element

00:30:00.460 --> 00:30:04.480
and all of these new amazing AI tools. So thank

00:30:04.480 --> 00:30:07.799
you both for joining us this week. Thank you

00:30:07.799 --> 00:30:10.480
for joining us today. If you enjoyed this topic,

00:30:10.720 --> 00:30:13.700
please let us know. Like, subscribe, or reach

00:30:13.700 --> 00:30:18.720
out to us at info at cit -net .com or head out

00:30:18.720 --> 00:30:24.099
to our website cit -net .com slash podcast. We'll

00:30:24.099 --> 00:30:26.259
be back next week with an all new episode.
