Latest / Brian Thomas / Tech Friday w/ Dave Hatter - Sponsored by Intrust IT - 1/30/2026

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Tech Friday w/ Dave Hatter - Sponsored by Intrust IT - 1/30/2026 · Brian Thomas

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Speaker 1: If you've got KARC the talk station Friday. I love
0:04
Speaker 1: this time of week Tech Friday with Dave Hatter. Such
0:06
Speaker 1: an important segment on my program. He's doing a public
0:09
Speaker 1: service and you know what interest it sponsors this segment
0:13
Speaker 1: providing all this wonderful information and yeah, an ad campaign,
0:16
Speaker 1: but it's working there. The best business courtier says, listen
0:19
Speaker 1: for you businesses out there. Everybody's got computers. If you
0:22
Speaker 1: need computer assistants, best practices get you out of a jam,
0:25
Speaker 1: solving your problems in trust dot com. They're the best
0:29
Speaker 1: game in the business. And God bless you Dave Hatter
0:31
Speaker 1: for doing that and coming on the program and saving
0:33
Speaker 1: us from ourselves. Welcome back, my friend, Happy Friday.
0:37
Speaker 2: Thanks Brian.
0:37
Speaker 3: Always good to be here, and as I always like
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Speaker 3: to say, hopefully we're doing some good out there.
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Speaker 1: You are. People can choose to disregard you, man, but
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Speaker 1: they do it at their own peril. Real quick here,
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Speaker 1: Dick Durbin, Dick got it was a victim of AI
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Speaker 1: making himself look like an idiot. He pulled up a
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Speaker 1: doctored AI doctored photo of the Alex preddy man who
0:58
Speaker 1: got shot by Border patrol agents. Whoops, Oh yeah, there
1:02
Speaker 1: is no head on that agent. It was an enhanced
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Speaker 1: image from a very greeny video footage that looks crystal
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Speaker 1: clear like I got taken with a high def camera,
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Speaker 1: and he thought it was wise to bring that one
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Speaker 1: out to show how bad the agent's acted. And of
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Speaker 1: course it was a source of much embarrassment. I'm sure
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Speaker 1: somebody lost their job over sending Dick out into the
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Speaker 1: world to that photo. But that's an example of artificial intelligence,
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Speaker 1: not that it has anything to do with the first
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Speaker 1: topic AI image geolocation. What is that and why is
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Speaker 1: it now easier than before?
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Speaker 3: Dave Hatter so Brian in the past talked about metadata
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Speaker 3: and in particular EXF data in photos. Most modern cameras,
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Speaker 3: probably every modern digital camera, I can't say for sure every,
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Speaker 3: but most have the capability to stamp data. Metadata data
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Speaker 3: you don't see into a picture. So behind the scenes
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Speaker 3: in your photos there's data that would tell you, like
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Speaker 3: the GPS coordinates where it was taken, and various other
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Speaker 3: data that describes the picture. When you hear nerd like
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Speaker 3: me say, metadata, metadata is essentially data that describes other data.
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Speaker 3: So if you've ever dug into like a word file
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Speaker 3: or an Excel document, there's metadata in there that will
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Speaker 3: tell you that it's an Excel file, when it was created,
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Speaker 3: who created it, that sort of thing, right, So a
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Speaker 3: lot of times people don't realize this metadata exists, and
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Speaker 3: they get themselves in trouble because they don't know what's
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Speaker 3: there and they think they're doing something that's untrackable or whatever.
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Speaker 3: There's a famous story of a hacker who was taunting
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Speaker 3: the FBI. He knew about metadata. He would post pictures
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Speaker 3: where the exif data was removed, and one time slipped
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Speaker 3: up posted a picture where he forgot to remove the
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Speaker 3: exif data, which included the location the geo coordinates of
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Speaker 3: where that picture was taken, and they eventually caught him
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Speaker 3: as a result. So this idea of being able to
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Speaker 3: take a photo and then use the metadata to figure
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Speaker 3: out where it came from as not new. However, this
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Speaker 3: article is basically pointing out that now AI can take
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Speaker 3: a photo even without the meta data. Okay, look at
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Speaker 3: the photo itself, and you know, using things like databases,
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Speaker 3: Google Earth, things like that, figure out where that photo
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Speaker 3: was taken.
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Speaker 1: Oh yeah, yeah.
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Speaker 3: So again, even if you are savvy and you understand
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Speaker 3: things like metadata, stripping it out is not necessarily a
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Speaker 3: guarantee that these newer AI tools wouldn't be able to
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Speaker 3: identify where that photo was taken.
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Speaker 1: When they say it's just like facial recognition, there's enough
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Speaker 1: information photographs of the globe out there that they can
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Speaker 1: match whatever photograph you took, as long as it's sort
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Speaker 1: of like outdoors or something like that, or even indoors.
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Speaker 1: Multiple millions of photographs in the world, this AI program
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Speaker 1: is it can easily go through all that, scrape all
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Speaker 1: that and compare your photo with what exists in the
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Speaker 1: world and say, no, that was taken in downtown Cincinnati, right,
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Speaker 1: I mean that kind of thing.
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Speaker 2: Yeah, here's here's an example.
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Speaker 3: So there's a picture an anchor, a very large anchor,
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Speaker 3: probably from like a freighter or battleship or something, propped
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Speaker 3: up on a street and all you see really is
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Speaker 3: the anchor and a cobblestone street and a stone.
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Speaker 2: Building behind it.
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Speaker 3: I mean, there's no way I could look at this
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Speaker 3: and even begin to guess where this was taken. And
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Speaker 3: apparently it's from Helsinki, Finland, And they said in the
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Speaker 3: article tool the tool identified this, though it also might
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Speaker 3: be in other locations. Still this is amazingly impressive because
4:28
Speaker 3: there's been a little go off. So you know, basically
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Speaker 3: they give you some tips here again, if you're going
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Speaker 3: to post photos online, turn off the location access on
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Speaker 3: your camera, strip actif data. Don't post pictures of your kids,
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Speaker 3: don't post pictures of your house or landscape. You know,
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Speaker 3: don't post things publicly. But remember this idea of privacy.
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Speaker 3: Once you post something, Right if you and I are friends, Brian,
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Speaker 3: and you post something it's only for your friends, Well,
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Speaker 3: once it's on my screen, I can take it, I
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Speaker 3: can potentially reshare it, I can take a screenshot of it.
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Speaker 3: You can't really stop me from doing whatever I want
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Speaker 3: with at that point. So that's not a great tip
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Speaker 3: in my mind. But the point they're making here is,
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Speaker 3: you know, and it's the point I'm trying to make
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Speaker 3: all the time. I'm not saying you should never post
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Speaker 3: anything online. I'm saying you should think about your digital footprint.
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Speaker 3: And as this technology progresses, you know, if someone were
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Speaker 3: stalking you, for example, now, even posting an image where
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Speaker 3: you know enough to strip out the exit data might
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Speaker 3: not be enough to prevent someone from using these kinds
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Speaker 3: of tools to figure out where that photo was taken
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Speaker 3: and eventually find you.
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Speaker 1: Makes sense for me to the consider Yeah, it's always
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Speaker 1: something to consider anything you post anything online anymore. Wow,
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Speaker 1: I don't view this as a good road we're going
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Speaker 1: on or going down. Dave, It really really it frightens
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Speaker 1: me more and more every day considering the forms of
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Speaker 1: abuse that AI is coming or the ability to abuse
5:52
Speaker 1: of AI is coming up. With Dave hadd we're gonna
5:55
Speaker 1: talk about his sixty one fib KCD talk station tech
6:00
Speaker 1: part of the Dave Hatter introst it dot com and LinkedIn.
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Speaker 1: I guess in the next segment we're going to be
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Speaker 1: talking a little bit about LinkedIn day. That's your favorite
6:08
Speaker 1: platform to put up information that you talk about here
6:10
Speaker 1: in the morning show and throughout the week and just
6:12
Speaker 1: search for Dave hat or on LinkedIn. But in the meantime,
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Speaker 1: check out the Northern Kentucky Tribune op ed piece by
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Speaker 1: the Man The Myths Legend Data January twenty first, Dave Hatter,
6:21
Speaker 1: How Kentuckians can you use State Consumer Data Protection Act?
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Speaker 2: Dave?
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Speaker 1: What's this all about?
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Speaker 3: Yeah, Brian, So, Kentucky passd a Consumer Data Protection Act
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Speaker 3: that gives you some rights as a consumer to protect
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Speaker 3: your privacy from these data brokers and so forth that
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Speaker 3: are constantly buying and selling your data. And while it's
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Speaker 3: not a perfect law there, we're one of about twenty states.
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Speaker 2: That have a law.
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Speaker 3: Now, I don't think Ohio's gotten there yet, So for
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Speaker 3: all my friends in Ohio, you might want to reach
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Speaker 3: out to your legislators and tell them to take a
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Speaker 3: look at Kentucky's law. Again, they are about twenty states
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Speaker 3: that have done this, And as a reminder, there is
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Speaker 3: no FED privacy law at this point, So the best
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Speaker 3: you can hope for is some sort of state law
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Speaker 3: that would give you some protections as a consumer and
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Speaker 3: ideally incentivize businesses that are collecting your data to take
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Speaker 3: it seriously, protect it, that sort of thing. But this
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Speaker 3: law went into effect in January, and Kentucky, like I said,
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Speaker 3: it's not perfect.
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Speaker 2: It doesn't have a private right of action.
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Speaker 3: If you believe that you have been harmed under the
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Speaker 3: provisions of the law, you have to go to the
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Speaker 3: Kentucky Attorney General's office. They're the only ones that can
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Speaker 3: currently enforce this. But it does have some teeth. Businesses
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Speaker 3: can be penalized pretty substantially, depending on the type of business,
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Speaker 3: size of business, the amount of day to day collect
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Speaker 3: things like that. But what I was shooting for here,
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Speaker 3: because I did a different piece just trying to explain
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Speaker 3: the law so people would know about it. What I
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Speaker 3: tried to explain here is as a consumer in Kentucky,
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Speaker 3: and I'm going to try to put something together. So
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Speaker 3: business is doing business in Kentucky, understand how this will
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Speaker 3: apply to them, and hopefully start to take action to
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Speaker 3: not become someone who ends up in trouble because they
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Speaker 3: did not do the right things. But basically, this gives
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Speaker 3: you the opportunity to go to a company that you
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Speaker 3: believe is collected your data.
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Speaker 2: Now, this is not easy, Brian. This is one of
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Speaker 2: the tricks. Right.
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Speaker 3: You got to go to their website. You got to
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Speaker 3: find that their privacy policy or whatever, or how you
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Speaker 3: would contact them and say, you know, you have to
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Speaker 3: turn over your data to me. You know, you might
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Speaker 3: look for things like private privacy rights, data subject requests,
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Speaker 3: that sort of thing. Right, you got to submit a request.
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Speaker 3: You have to say, hey, I want you and I've
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Speaker 3: got some sample language in here. For example, please confirm
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Speaker 3: whether you are processing my personal data provide access to
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Speaker 3: all personal data associated with my account, including identifiers, browsing history,
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Speaker 3: location data in any inferences. Right, and then basically you
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Speaker 3: should get a report and you can look at that report,
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Speaker 3: and then you can do things like say, well this
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Speaker 3: is wrong, I want you to correct that. You can
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Speaker 3: request the LEAs of personal data collected directly from you.
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Speaker 3: And that's one of the things that makes this less ideal.
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Speaker 3: If they if they've bought it from someone else, well
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Speaker 3: that wasn't collected directly from you, so you can't they
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Speaker 3: won't have to delete that necessarily.
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Speaker 2: Right.
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Speaker 3: So again, there are some things where this could be better,
9:18
Speaker 3: but even for people who've complained about it, my answer is, well,
9:21
Speaker 3: it's way better than what we had before. The law
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Speaker 3: was passed in January twenty four and again went into
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Speaker 3: effect in January of this year. It was actually was
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Speaker 3: passed in twenty four, not January, went into effect this year.
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Speaker 2: It's way better than nothing.
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Speaker 3: It does give you, again, some rights as a consumer
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Speaker 3: to see what companies have to request, collect corrections, to
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Speaker 3: request deletions, to ask for the data so you could
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Speaker 3: take it somewhere else. And you know, I'm hoping that
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Speaker 3: this will just be a first step towards tightening this
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Speaker 3: up over time, you know, and giving businesses a chance
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Speaker 3: to understand this and start to implement practices to secure
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Speaker 3: your data, protect your data, store less data, and for
10:04
Speaker 3: you as a consumer, that's all the wind. So again,
10:07
Speaker 3: if you live in Kentucky, go read this op ed.
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Speaker 3: I've posted it several times in my social media LinkedIn acts,
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Speaker 3: et cetera. I'll post it again as part of the
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Speaker 3: notes for this and then you know, start to take
10:18
Speaker 3: action to try.
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Speaker 2: To unwind some of the stuff.
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Speaker 3: I also talk about, like trying to do a personal
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Speaker 3: privacy audit. And you know, I've written some articles on
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Speaker 3: this kind of thing before, got some tips out there,
10:28
Speaker 3: links to tools that I use, so you.
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Speaker 2: Know, ultimately this is it.
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Speaker 3: And also this week is Data Privacy Month, so this
10:36
Speaker 3: is a great time to start thinking about your privacy,
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Speaker 3: clean up your digital footprint, and if you live in Kentucky,
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Speaker 3: start to use this law to unwind some of this stuff.
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Speaker 1: All right, Well, at the risk of going down some
10:47
Speaker 1: rabbit hole, which I don't want to do. I'm just
10:49
Speaker 1: I'm trying to process how complicated.
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Speaker 2: This is going to be. It's going to be complished.
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Speaker 1: Okay, let's say I interact with City Bank or something like,
10:58
Speaker 1: I purposefully intend go to a website, right, I give
11:02
Speaker 1: them my log in information, my name, they got my
11:04
Speaker 1: credit card number, whatever. So I exchanged information with them.
11:07
Speaker 1: I can say, hey, City Bank, what are you collecting
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Speaker 1: about me? What do you have internally related to me?
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Speaker 1: That makes sense, It's an easy ask. But lots of
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Speaker 1: businesses out there have people within the company that are
11:18
Speaker 1: using other forms of let's say artificial apps.
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Speaker 2: Right.
11:21
Speaker 1: Let's say within the working model of any given business,
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Speaker 1: they use information you provided them through some app created
11:29
Speaker 1: by a third party. Now do they have to let
11:32
Speaker 1: you know that what they're using involves a third party app?
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Speaker 1: Because that app, as you pointed out, may very well
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Speaker 1: be collecting your information, perhaps even unbeknownst to the company
11:39
Speaker 1: that I'm asking for data from.
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Speaker 3: So the law has some exemptions for organizations and agencies
11:45
Speaker 3: that would not be subject to this, for example, nonprofits,
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Speaker 3: higher education, state and local government agencies, businesses regulated under
11:54
Speaker 3: federal laws like HIPPA and Graham leads Filey Act. So
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Speaker 3: not every business is subject this. But as I understand it,
12:01
Speaker 3: I'm not an attorney. As I understand it, Yes, if
12:05
Speaker 3: you don't fall into one of the exemptions. As someone
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Speaker 3: requests this information from you, you must turn it over.
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Speaker 1: Okay, if that's the answer, that's the answer, and I'm
12:13
Speaker 1: comfortable with that. I'm just again a compliance with this
12:18
Speaker 1: from the recip or by the recipient of the request.
12:21
Speaker 1: That's you're gonna have to put a lot of faith
12:22
Speaker 1: in them that they're actually looking for all of the
12:24
Speaker 1: records that might apply to your request. This is something
12:26
Speaker 1: a litigation attorneys have to deal with all the time.
12:29
Speaker 1: Six forty seven, we're going to hear about well hackers
12:31
Speaker 1: using day's favorite platform to the talk station. Six you
12:36
Speaker 1: want if you buy KRCD talk station Byan Thomas with
12:38
Speaker 1: Dave had Or doing Tech Friday intrust it dot com.
12:41
Speaker 1: So your favorite platform has got a problem, Dave hat
12:44
Speaker 1: Or what's the story here with pcgamer dot COM's Jane
12:46
Speaker 1: Bentley bringing this to our attention.
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Speaker 3: Well, it isn't a LinkedIn problem, It's a file sharing
12:52
Speaker 3: problem on any social media platform.
12:55
Speaker 2: So the point she's.
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Speaker 3: Making here is hackers pretending to be a recruiter, as
13:00
Speaker 3: one example, might go on LinkedIn and say hey, I
13:04
Speaker 3: looked at your profile. You look like a great fit
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Speaker 3: for this job, fill out this application. Right, they're using
13:10
Speaker 3: the messaging, so let me take a step back LinkedIn.
13:14
Speaker 3: And for folks who haven't used LinkedIn, if you've used Facebook,
13:17
Speaker 3: think of Facebook Messenger right now. I try to avoid
13:20
Speaker 3: ever using Facebook Messenger. Don't send me messages on Facebook
13:24
Speaker 3: Messenger because I probably won't see him for the next
13:26
Speaker 3: six months.
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Speaker 2: I don't even look at it.
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Speaker 3: Okay, but Messenger is a way for you to send
13:30
Speaker 3: a direct message to someone rather than make a post
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Speaker 3: that potentially everyone can see. It's a one to one
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Speaker 3: message or possibly a group message.
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Speaker 1: Right, every morning I get a whole bunch of them.
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Speaker 3: Yeah, same thing as a direct message on X Right,
13:44
Speaker 3: it's a message between two people generally, so LinkedIn has
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Speaker 3: that same capability. You can go on LinkedIn and send
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Speaker 3: a message to someone. I use this all the time.
13:54
Speaker 3: I get messages all the time, usually people trying to
13:56
Speaker 3: sell me something. But again, someone can pretend to be
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Speaker 3: a recruiter and they send you a file. So in
14:02
Speaker 3: addition to just typing a message in there, you can
14:05
Speaker 3: send someone a link, but you can also attach a file,
14:08
Speaker 3: so a word documented PDF, whatever. And they're pointing out
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Speaker 3: that you know people on LinkedIn are often looking for jobs,
14:16
Speaker 3: looking for their next opportunity. It's not unusual to have
14:19
Speaker 3: a legitimate recruiter reach out to you. But bad guys
14:22
Speaker 3: understand this and are increasingly using LinkedIn, especially for people
14:26
Speaker 3: looking for jobs, as a way to defraud them. And
14:29
Speaker 3: what she's pointing out in this article, And again, I
14:32
Speaker 3: want to be clear, Brian, this could happen to you
14:35
Speaker 3: on anywhere. Someone can send you a file. Right in
14:38
Speaker 3: the old days, this will primarily be email. I send
14:40
Speaker 3: you an email, It's got an attachment. The attachment is
14:43
Speaker 3: some kind of malware, virus, keystrokelog or whatever. Well, the
14:47
Speaker 3: bad guys are smart. They go where people are. They
14:50
Speaker 3: know that many folks don't really think. Well, wait a minute.
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Speaker 3: If someone can send me a file through Facebook, X, TikTok, Pinterest, LinkedIn, whatever,
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Speaker 3: that file could be malicious, just like it could if
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Speaker 3: I got it via email, or just like it could
15:05
Speaker 3: if I went to a website and downloaded it. Right,
15:08
Speaker 3: the file itself contains malicious content, a virus, if you will.
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Speaker 1: Well, this comes as no surprise to me given all
15:14
Speaker 1: the times you've told us about other platforms. I mean,
15:16
Speaker 1: that's why I don't open text messages that had links
15:18
Speaker 1: to them. You know, I don't never open the link
15:20
Speaker 1: because of your warnings. This sounds to me like no
15:21
Speaker 1: different from that, So I'm asking this comes as a surprise.
15:25
Speaker 3: It's no different at all. It's just that they're now
15:28
Speaker 3: exploiting social media platforms and LinkedIn in particular, and they're
15:32
Speaker 3: using social engineering, right the idea of it, Yes, here's
15:36
Speaker 3: a job, here's a job. Click this form, open this
15:39
Speaker 3: form and fill it out or something like that, which
15:41
Speaker 3: then infects your computer with a virus potentially.
15:44
Speaker 1: Well, I get all that.
15:45
Speaker 2: I guess.
15:46
Speaker 1: Part of me wants to say, how many true genuine
15:49
Speaker 1: employers go out there and scan through LinkedIn profiles looking
15:53
Speaker 1: for someone who fits the bill for the open spot
15:55
Speaker 1: as opposed to posting a position open and having real
15:59
Speaker 1: people respond.
16:02
Speaker 3: I would say most they have recruiters, and their recruiters
16:05
Speaker 3: are using LinkedIn to find people that fit their really
16:08
Speaker 3: do it all the time?
16:09
Speaker 1: Oh wow? Well, see, I'm not in business. What the
16:11
Speaker 1: hell does Thomas know? So at least you answer my question,
16:14
Speaker 1: So that does happen?
16:14
Speaker 2: So?
16:15
Speaker 3: So, yeah, if you're a recruiter, one of the best
16:17
Speaker 3: ways to find people that would potentially fill an open
16:20
Speaker 3: position is to use a tool like LinkedIn and say, well,
16:23
Speaker 3: they have the right education, they have the right experience,
16:25
Speaker 3: they have the right training. This is someone I want
16:28
Speaker 3: to talk to and direct message. The message feature of
16:31
Speaker 3: LinkedIn would be a way to get to them directly.
16:33
Speaker 2: All right, Well, again, how does this?
16:35
Speaker 1: How does one discern whether that is a real, genuine
16:38
Speaker 1: tax with real genuine recruiter or somebody trying to rip
16:42
Speaker 1: them off.
16:42
Speaker 3: Well, that is an excellent question, and I would say
16:45
Speaker 3: there is no one hundred percent guaranteed way to do it,
16:47
Speaker 3: because the bad guys will go in and set up
16:50
Speaker 3: a fake profile. They make it look realistic, they look
16:53
Speaker 3: like they work at a real company. They you know,
16:56
Speaker 3: they probably have. They've created activity make themselves look legitimate, right,
17:00
Speaker 3: because it's easy to do.
17:02
Speaker 2: So.
17:02
Speaker 3: My advice to you would be if you have someone
17:05
Speaker 3: reach out to you in an unsolicited way on any
17:08
Speaker 3: of these platforms, but linked In particularly, and especially if
17:11
Speaker 3: it's you're out of a job and you're looking for
17:13
Speaker 3: a job. It's an offer, you know, all the stuff Brian,
17:15
Speaker 3: too good to be true, whatever, you should be highly
17:18
Speaker 3: skeptical of it, and you should do everything possible to
17:21
Speaker 3: confirm that that is a real, real, legitimate thing before
17:25
Speaker 3: you click that file. I'm not saying don't interact with
17:28
Speaker 3: the person necessarily, but I'm saying, like, look at their profile,
17:31
Speaker 3: try to confirm that they're real, Do they have other activity?
17:35
Speaker 3: Can you confirm anything? But don't open the file until
17:39
Speaker 3: you have a high, high level of certainty, and certainly
17:41
Speaker 3: if you don't have any kind of antivirus, don't open it.
17:43
Speaker 3: But even then, it's a risky proposition to open any
17:47
Speaker 3: file someone sends you that you weren't expecting and did
17:49
Speaker 3: not ask for.
17:50
Speaker 1: Exclamation point. Dave atorinterest dot com. Appreciate what you do
17:55
Speaker 1: every week on the program. I'll look forward to another
17:57
Speaker 1: talk with you next Friday. In the meantime, you guys at Intrust,
18:00
Speaker 1: I have a great week and thanks again. It's six
18:04
Speaker 1: fifty seven and fifty five.
18:05
Speaker 2: Care