Latest / Brian Thomas / Tech Friday w/ Dave Hatter - Sponsored by Intrust IT - 5/15/2026

Transcript

Tech Friday w/ Dave Hatter - Sponsored by Intrust IT - 5/15/2026 · Brian Thomas

• 0:00
  Speaker 1: See the talk station KC talk Station. Happy Friday, Important time.
• 0:06
  Speaker 1: Do you listen to the fifty five KRC Morning Show
• 0:08
  Speaker 1: or Hello to the folks pulling it up on podcasts
• 0:10
  Speaker 1: later today fifty five KRC dot Com Podcast. Welcome back
• 0:13
  Speaker 1: from interust it online at interest I T dot com.
• 0:16
  Speaker 1: You have a business, you have computers you need Dave
• 0:19
  Speaker 1: Hatter and the crew at interest I T, which the
• 0:20
  Speaker 1: business carrier says are the best for all of your
• 0:23
  Speaker 1: computer needs. Welcome back, Dave Hatter. I appreciate you coming
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  Speaker 1: on the program every week.
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  Speaker 2: Always my pleasure. Brian, happy to be here.
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  Speaker 1: I love this. The flock cameras, some people love them,
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  Speaker 1: some people hate them, the kind of an Orwellian reality,
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  Speaker 1: but police using them in a bit of an untoward manner.
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  Speaker 1: How what's going on here?
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  Speaker 2: Dave? Yeah, Brian, I'm sure you can guess my opinion. Oh,
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  Speaker 2: I know already block block cameras. Not a huge fan.
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  Speaker 2: There's lots of problems out there. I could I could
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  Speaker 2: spend this entire thirty minute segment with you just pointing
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  Speaker 2: out some of the issues, like the video of the
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  Speaker 2: guy who hacks the flock camera and watches himself on
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  Speaker 2: that camera, or the guy who keeps I think we
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  Speaker 2: talked about this maybe a few weeks ago, the guy
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  Speaker 2: who keeps getting pulled over because the license plate recognition
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  Speaker 2: apparently is not good enough to discern between a zero
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  Speaker 2: and an O. And this guy keeps getting pulled over
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  Speaker 2: because it reads his plate. Since I've alerked, there's a
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  Speaker 2: warrant for him, and he gets pulled over. This has
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  Speaker 2: happened numerous times, and actually I believe in more than
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  Speaker 2: one instance I'm only aware of. I think it's Colorado.
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  Speaker 2: Oh but here, Yeah, here's a case where you know,
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  Speaker 2: it's been shown that at least fourteen different times of
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  Speaker 2: the eighty thousand flock camera plus cameras out there across
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  Speaker 2: the US, police officers have used these things in let's
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  Speaker 2: just call it unsavory, if not illegal, ways to follow people,
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  Speaker 2: research people, love interests, spouses, that sort of thing. And
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  Speaker 2: to me, it just shows the potential downside of so
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  Speaker 2: much of this surveillance technology.
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  Speaker 1: Surveillance technology run by people. People are inherently, you know,
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  Speaker 1: have an inherent potential to commit crimes, to do untoward
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  Speaker 1: things on savory things and quite often illegal things. That's
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  Speaker 1: a dangerous part because everything that you know we're surrounded
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  Speaker 1: by is run by some person in a government entity,
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  Speaker 1: and we can't trust them. All we've come to learn, Dave, uh.
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  Speaker 2: No, you can't. Plus Brian, this, this facial recognition technology
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  Speaker 2: is not perfect. AI technology is not perfect. Again, is
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  Speaker 2: evidenced by this guy who keeps getting pulled over. You
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  Speaker 2: know this stuff is It's okay AI in general, right
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  Speaker 2: when you use these large language models, it's not deterministic.
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  Speaker 2: You and I can ask the exact same question and
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  Speaker 2: get two different answers. You know, this stuff is not perfect,
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  Speaker 2: and we've we've rushed to throw so much of this
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  Speaker 2: stuff out there. And it's not that I'm necessarily against
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  Speaker 2: this stuff. It's that, as we you and I have
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  Speaker 2: discussed so many times, the business model of the Internet
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  Speaker 2: of things is all wrong for you as a consumer.
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  Speaker 2: It's not focused on privacy and security. It's focused on
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  Speaker 2: speed to market, market share, ease of use in collecting
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  Speaker 2: your data. And as more and more data gets collected
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  Speaker 2: about you, as we see how these things can go
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  Speaker 2: wrong because the technical solution is not perfect, and to
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  Speaker 2: your point, prime, because there are human beings operating these things,
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  Speaker 2: and you know it's we're just creating a situation that
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  Speaker 2: has the potential to go bad. Now, even if you
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  Speaker 2: take out the surveillance aspect of this, the idea, and
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  Speaker 2: we've talked about this before, I know that an adversarial
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  Speaker 2: nation could hack these things and then use them to
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  Speaker 2: surveil us pick targets figure out how to cause chaos
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  Speaker 2: in the economy. And I know this sounds crazy to
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  Speaker 2: a lot of people, but again it's it's not. I
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  Speaker 2: can point you to evidence of every one of these things.
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  Speaker 1: I know you. This is why I say, for someone
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  Speaker 1: out there who doesn't believe what you're saying, then you're
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  Speaker 1: not paying attention to the news.
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  Speaker 2: Yeah, and I would encourage folks, you know, as you
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  Speaker 2: know Brian, if you follow me on like Facebook, x
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  Speaker 2: or LinkedIn, I'm sharing these kinds of things all the time.
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  Speaker 2: I got a substack after the show, you know, I
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  Speaker 2: post the articles that we used on all of these things.
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  Speaker 2: So all the stuff I'm talking about, if you just
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  Speaker 2: follow me, you can go find on your own. You
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  Speaker 2: don't even have to search.
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  Speaker 1: For link LinkedIn dot com Dave Hatter, you will find it.
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  Speaker 1: And to recommend you do that, let's bring Dave back.
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  Speaker 1: We'll talk about an element of that surveillance pricing. Yes,
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  Speaker 1: your data can be used to keep talk station, so
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  Speaker 1: forty want to think about KRCUD talk station A very
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  Speaker 1: Happy Friday for interest dot com where you find Dave
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  Speaker 1: Patter and the crew for your business computer needs and
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  Speaker 1: of course LinkedIn dot com to find Dave and a
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  Speaker 1: substack with all the articles you need to check up on.
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  Speaker 1: And let's turn to an illustration of exactly what the
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  Speaker 1: surveillance state can bring around surveillance pricing.
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  Speaker 2: Dave. Yeah, Brian, so this is something that I find
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  Speaker 2: rather disturbing. Yeah, and I don't think most people understand
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  Speaker 2: this is a thing. So originally when we started e commerce,
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  Speaker 2: right being able to shop online, that's what we used
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  Speaker 2: to call it. Way back in the day. You'd hear
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  Speaker 2: about personalization and the your data, the things you viewed,
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  Speaker 2: the things you bought, so that they could personalize your
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  Speaker 2: shopping experience, which I understand and can appreciate to some extent. Right,
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  Speaker 2: if you know I like books about science fiction, well
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  Speaker 2: send me more science fiction books. Or if you know
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  Speaker 2: I like heavy metal, well send me more heavy metal, right,
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  Speaker 2: whatever that makes sense. Over time, though, we realize that
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  Speaker 2: they get smart and realize the more data they have
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  Speaker 2: about you, they can not only personalize things, they can
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  Speaker 2: determine well, Okay, Brian is in a different zip code
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  Speaker 2: than Dave. Brian is in more affluent zip code than Dave,
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  Speaker 2: for example. Right, this is just one tangent of this.
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  Speaker 2: So we're going to charge Brian more for this product,
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  Speaker 2: and we're going to charge Dave because we think Brian
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  Speaker 2: can pay more because he's in a more affluent zip code.
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  Speaker 2: Now fast, So that's called dynamic pricing. That's been around
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  Speaker 2: for a long time as well. Now, fast forward to
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  Speaker 2: every company, every app, every so called smart device is
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  Speaker 2: collecting enormous amounts of data about you. Data brokers buy
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  Speaker 2: and sell his data. Giant companies like Meta and Alphabet,
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  Speaker 2: the parent companies of Facebook and Google, respectively buy and
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  Speaker 2: sell this data so they can personalize things, they can
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  Speaker 2: target you, they can pinpoint things to your interests and
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  Speaker 2: get more money from advertising for you. And they say, okay, well,
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  Speaker 2: now that we have an incredible amount of information about
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  Speaker 2: Brian and David, we cannot just know that they are
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  Speaker 2: more likely to pay more because of their zip code.
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  Speaker 2: We know how much money they make, we know all
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  Speaker 2: kinds of psychographic and demographic information about them, So we're
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  Speaker 2: going to dynamically change the price. You and I go
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  Speaker 2: look up product X. So maybe you and I are
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  Speaker 2: going to have some company like Kroger delivery groceries to
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  Speaker 2: our house and you get charged more for baked beans
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  Speaker 2: than I do because they know you're a big fan
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  Speaker 2: of Bush's baked beans. Now, as crazy as this sound,
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  Speaker 2: it's a real thing, and Maryland has already taken steps
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  Speaker 2: to ban this. But when people say, well that sounds
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  Speaker 2: crazy again, this has been going on in e commerce
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  Speaker 2: for a while, but you may have heard some retail
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  Speaker 2: stores are now going to electronic pricing tags in the store.
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  Speaker 2: No longer the gun where you're going around changing the
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  Speaker 2: pricing on the shelves. It's all electronic, and I can
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  Speaker 2: walk in a store. My phone through Bluetooth is connecting
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  Speaker 2: to their beacons. It knows I'm there, and even when
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  Speaker 2: I go in a store, it's physically possible now that
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  Speaker 2: you and I could be standing next to each other
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  Speaker 2: and when you move away from the baked beans, you
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  Speaker 2: know the price you got is lower than me because
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  Speaker 2: they know I like them better than you based on
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  Speaker 2: my previous purchases and the fact that I follow Bush
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  Speaker 2: Baked Beans online or whatever. So yeah, this is a
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  Speaker 2: real thing. I think it's really kind of crazy from
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  Speaker 2: a consumer perspective. And Maryland introduced the Protection from Predatory
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  Speaker 2: Pricing Act. It will ban surveillance pricing and grocery stores,
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  Speaker 2: and I you know, some consumer groups don't think it
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  Speaker 2: goes far enough. You know, I would say any step
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  Speaker 2: in the right direction towards banning this practice, which again
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  Speaker 2: to me, is patently unfair. You know, we hear about
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  Speaker 2: price gouging all the time and so forth during disasters.
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  Speaker 2: I don't I understand from the respective of the people
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  Speaker 2: doing it why they want to be able to do this,
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  Speaker 2: of course, but the idea that you and I are
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  Speaker 2: getting charged something different just seems patently unfair. Kudos to
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  Speaker 2: Maryland that I can tell you. I will be working
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  Speaker 2: hard here in Kentucky to raise awareness about this with
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  Speaker 2: our legislature and try to get this practice banned in Kentucky,
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  Speaker 2: and I encourage all of you in Ohio and Indiana
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  Speaker 2: to do the same. I'll post the links, it'll all
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  Speaker 2: be out there. Look into it. I wrote an article
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  Speaker 2: about this about a year ago, trying to help people
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  Speaker 2: understand it. It's real, folks. Yeah, don't have to contact
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  Speaker 2: your legislators.
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  Speaker 1: Listen, if we're all haggling in a bizarre then some
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  Speaker 1: people would pay more than others. You know, you do
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  Speaker 1: it back and forth, you know ten for that you
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  Speaker 1: must be mad. You know, offer me five offer you know,
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  Speaker 1: different prices for different folks depending on your haggling skills.
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  Speaker 1: Although you know, I'll point out this kind of thing
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  Speaker 1: existed when I lived up in Oak Park, Illinois, which
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  Speaker 1: was the lower price point compared to river Forests, the
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  Speaker 1: adjacent neighborhood where people were wealthier and had more expensive
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  Speaker 1: homes simply because of the neighborhood they lived. And we
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  Speaker 1: used to joke about it. You have your HVAC fix,
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  Speaker 1: where are you? Oak Parker river Forest? Where you live
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  Speaker 1: will determine the pricing. So it just makes the technology
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  Speaker 1: makes it a lot easier. Dave had or it LinkedIn
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  Speaker 1: dot com. Get the links and find out about fake
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  Speaker 1: it worker problems. That's the next subject with Dave had
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  Speaker 1: Or don't go away. Guess who was in my yard yesterday?
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  Speaker 1: Yes again, Gregorshon, Happy Friday. Interest it dot coms where
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  Speaker 1: you find Dave hatter and the crew for your business
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  Speaker 1: personal computer business needs for computers, and of course linked
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  Speaker 1: In emphasizing again LinkedIn dot com to find Dave and
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  Speaker 1: all the articles he relies on for this segment and
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  Speaker 1: so much other. How about the fake IT worker problem, Dave.
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  Speaker 2: Yeah, this is a wild story, Brian. I think we
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  Speaker 2: may have talked about this maybe a year ago when
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  Speaker 2: one of these stories hit the news.
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  Speaker 1: As a familiar ring to it, but.
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  Speaker 2: Basically so in the business, insider threat is the idea that,
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  Speaker 2: you know, than hackers trying to break into your environment
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  Speaker 2: from the outside, you have someone inside. Could be a
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  Speaker 2: disgruntled employee, It could be someone who's been bribed, it
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  Speaker 2: could be a fake worker. You know, and since the pandemic,
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  Speaker 2: you've got a lot of people working remotely and hackers
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  Speaker 2: realized bad guys. Nation state actors the evil access of cybersecurity.
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  Speaker 2: India or not India, sorry, North Korea, Iran, China and
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  Speaker 2: Russia kind of the evil access of cybersecurity. The nation
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  Speaker 2: state actors that were constantly fighting against trying to protect
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  Speaker 2: against my apologies to India, by the way, is realizing
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  Speaker 2: that they can get people to appear to be legitimate
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  Speaker 2: employment candidates get jobs in American companies and become the
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  Speaker 2: ultimate insider threat. You're theoretically a trusted employee. You're being
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  Speaker 2: granted access to systems, and now you can surveil the systems.
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  Speaker 2: You can steal trade secrets, you steal military secrets, you
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  Speaker 2: could steal money, or whatever it is you're trying to
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  Speaker 2: do so. From this article in Chief Security Officer magazine,
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  Speaker 2: which is pretty well respected, hiring fake IT workers has
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  Speaker 2: been a growing problem. It's often a problem f you
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  Speaker 2: want to admit, from Fortune five hundred down to smaller
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  Speaker 2: and the organizations remote hiring practice have been exploited to
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  Speaker 2: grant trusted to grant trusted access to individuals who are
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  Speaker 2: not what they claim to be, creating an insider threat.
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  Speaker 2: Risk estimates suggest there are thousands of fake IT workers
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  Speaker 2: in the US in a position to steal information. Amazon
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  Speaker 2: has identified and blocked more than eighteen hundred attempts by
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  Speaker 2: North Korea to secure IT rolls, and the numbers are rising.
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  Speaker 1: Amazing. In this modern time, you don't have a face
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  Speaker 1: to face interview with someone you're going to employ.
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  Speaker 2: Well, but Brian, here's the thing. They're using AI to
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  Speaker 2: create resumes that seem realistic. They're using AI to create
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  Speaker 2: deep fakes. You know, you get on a if you're
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  Speaker 2: not doing a video interview, and even that can potentially
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  Speaker 2: be deep faked. Now, and that's why one of the
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  Speaker 2: things they talk about in this article, right is how
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  Speaker 2: do you defeat this problem? But one of the more
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  Speaker 2: extreme examples of this, there was a guy I don't
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  Speaker 2: have the article in front of me, I believe it
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  Speaker 2: was in Nashville who was essentially setting up I'm going
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  Speaker 2: to use this tom loosely a server farm, so North
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  Speaker 2: Korean hackers could remote into his house in Nashville and
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  Speaker 2: then appear to be working from a site in Nashville. Well,
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  Speaker 2: he went, he got arrested and went to jail, if
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  Speaker 2: I recall correctly, Again, I don't have that article in
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  Speaker 2: front of me, But they talk in this article which
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  Speaker 2: I'll link today on my substack from Cso no single
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  Speaker 2: point of failure in the recruitment process. They can steal
• 12:38
  Speaker 2: their identity, falsify their skills and experience, and moved through
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  Speaker 2: the interview and screening process undetected. Sentinel one. They make
• 12:45
  Speaker 2: a very high end anti virus slash MDR XDR product.
• 12:49
  Speaker 2: I'm a big fan of them. By the way, sent
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  Speaker 2: one One has tracked roughly three hundred and sixty fake personas
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  Speaker 2: and more than a thousand job applications linked to North
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  Speaker 2: Korean IT worker operations. You know, synthetic or stolen ideas
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  Speaker 2: you used to create resumes of online profiles. Interviews are
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  Speaker 2: passed with the help of scripts, stand ins or AI
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  Speaker 2: assistant responses, background to conject background checks confirm only what's
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  Speaker 2: presented to them. So you know, people are trying to
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  Speaker 2: work through the process, but the hackers are wives to
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  Speaker 2: the processes. And again thanks to AI, thanks to fake profiles,
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  Speaker 2: thanks to information that's been stolen, leaked, or breached about
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  Speaker 2: so many of us. Now you know, it's it's easy
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  Speaker 2: to create all this fake information and if you're a
• 13:31
  Speaker 2: business that's not aware of this. And that's the thing, Brian,
• 13:34
  Speaker 2: and that's one of the reason why I appreciate you
• 13:35
  Speaker 2: and Joe so much at fifty five KRC. So much
• 13:39
  Speaker 2: of what you can do to defend yourself, your family,
• 13:41
  Speaker 2: your organization against these threats today. It's not technologically based.
• 13:47
  Speaker 2: Its yeah, you need anti virus, you need those things,
• 13:49
  Speaker 2: but it's awareness, it's skepticism, it's realizing there are bad
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  Speaker 2: guys out there who will try to get hired by
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  Speaker 2: your company so they can steal your secrets, steal your money,
• 14:00
  Speaker 2: whatever else it is. And you know, again it's if
• 14:02
  Speaker 2: you're just aware that this is a thing, you can
• 14:04
  Speaker 2: when you go through the interview process now be more skeptical,
• 14:08
  Speaker 2: you know, maybe check more things, take more steps as
• 14:11
  Speaker 2: opposed to well, you know, we just did an interview.
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  Speaker 2: We didn't do a background check, we didn't do all
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  Speaker 2: of these things right, and these bad actors slipped through
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  Speaker 2: because people are not even aware of this is a problem.
• 14:22
  Speaker 1: Dave Hatter, I appreciate your kind words for Jokestreker and
• 14:24
  Speaker 1: myself in the fifty five Carsony Morning Show, but you
• 14:26
  Speaker 1: are the man who provides us with the valuable information
• 14:29
  Speaker 1: and I can't thank you and interest I dot com
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  Speaker 1: your company enough for coming on the program and at
• 14:35
  Speaker 1: least trying to keep people from stepping in it, if
• 14:38
  Speaker 1: you know what I mean, Dave Hatter, Interest to our
• 14:40
  Speaker 1: LinkedIn dot com to find Dave and all the articles
• 14:43
  Speaker 1: and keep up the great work. Dave. We'll do this
• 14:44
  Speaker 1: again next Friday, and I look forward to it already.
• 14:46
  Speaker 1: Have a wonderful weekend my friend.
• 14:49
  Speaker 2: Thanks Brian, always my pleasure and I'll look forward to
• 14:51
  Speaker 2: talking to you again next Friday.
• 14:53
  Speaker 1: Dunk Away, Folks, I'm staring at him. He's in