1 00:00:00,080 --> 00:00:08,119 Speaker 1: Station six on a Friday. Intrust it dot Com. That's 2 00:00:08,119 --> 00:00:09,799 Speaker 1: where you find Dave Hat and his crew for all 3 00:00:09,840 --> 00:00:12,000 Speaker 1: your computer needs. When you're a business owner, I know 4 00:00:12,039 --> 00:00:14,680 Speaker 1: you got computers and sometimes you'll get into trouble using 5 00:00:14,720 --> 00:00:17,119 Speaker 1: them or set them up in properly, don't have best 6 00:00:17,160 --> 00:00:19,680 Speaker 1: practices in place. Whatever it is you've got computers, you 7 00:00:19,720 --> 00:00:22,520 Speaker 1: need intrust it dot com, which the business currenter says 8 00:00:22,600 --> 00:00:24,639 Speaker 1: is the best in the business here in the Tri State. 9 00:00:24,720 --> 00:00:27,960 Speaker 1: Welcome the man who is responsible for interest it in 10 00:00:27,960 --> 00:00:30,720 Speaker 1: this particular segment of the week we call the Tech Friday. 11 00:00:30,720 --> 00:00:33,080 Speaker 1: It's Dave Hatter. Welcome back, Dave. Thank you so much 12 00:00:33,080 --> 00:00:34,080 Speaker 1: for joining the program. 13 00:00:34,800 --> 00:00:36,800 Speaker 2: Oh is my pleasure, Brian. I look forward to it 14 00:00:36,840 --> 00:00:37,320 Speaker 2: every week. 15 00:00:37,600 --> 00:00:41,279 Speaker 1: Yeah, it's been revealing this, this crazy kidnapping case that's 16 00:00:41,320 --> 00:00:44,320 Speaker 1: made all the news, has been revealing about well, what's 17 00:00:44,320 --> 00:00:46,479 Speaker 1: going on in the back door. We find out that Google, 18 00:00:46,560 --> 00:00:49,400 Speaker 1: ring cameras or app whichever's system out there, actually still 19 00:00:49,400 --> 00:00:51,280 Speaker 1: recording things even if you're not hooked up to the 20 00:00:51,800 --> 00:00:52,479 Speaker 1: cloud with it. 21 00:00:52,520 --> 00:00:53,080 Speaker 2: That was weird. 22 00:00:53,400 --> 00:00:56,160 Speaker 1: Then we find out the realities of cryptocurrency. They track 23 00:00:56,240 --> 00:00:59,960 Speaker 1: the account of the kidnapper, who I apparently identified a 24 00:01:00,040 --> 00:01:02,360 Speaker 1: crypto account in which we were supposed he was supposed 25 00:01:02,400 --> 00:01:04,480 Speaker 1: to receive five million dollars in ransom, but they put 26 00:01:04,520 --> 00:01:06,520 Speaker 1: a little money into it just make sure it was active, 27 00:01:06,520 --> 00:01:08,679 Speaker 1: which allows them to sort of follow that account and 28 00:01:08,760 --> 00:01:14,400 Speaker 1: track literally every transaction ever made on that account. That's frightening. 29 00:01:14,480 --> 00:01:17,040 Speaker 1: You can't buy something anymore without the world knowing that 30 00:01:17,080 --> 00:01:19,679 Speaker 1: you bought it. And we pivot over to this. Your 31 00:01:19,680 --> 00:01:23,679 Speaker 1: first topic this morning, Google Virtual assistant secretly recording users. 32 00:01:24,160 --> 00:01:26,280 Speaker 1: Your favorite products are Google products, right, Dave? 33 00:01:27,080 --> 00:01:29,080 Speaker 2: Yeah, you know, Brian, I'm a big fan of the 34 00:01:29,120 --> 00:01:32,520 Speaker 2: Internet of things, not and the camera you're talking about 35 00:01:32,520 --> 00:01:34,600 Speaker 2: in the gut three case. Maybe we dig into this 36 00:01:34,600 --> 00:01:36,160 Speaker 2: a little bit more next week, because I think it's 37 00:01:36,200 --> 00:01:39,440 Speaker 2: really interesting for folks, and that to me, it's just 38 00:01:39,920 --> 00:01:42,600 Speaker 2: yet another example of why I'm not a fan of 39 00:01:42,640 --> 00:01:46,080 Speaker 2: the Internet of things, the so called smart devices, and 40 00:01:46,280 --> 00:01:49,720 Speaker 2: it really illustrates that while I get the wow factor 41 00:01:49,720 --> 00:01:51,760 Speaker 2: and the convenience and the coolness and all that that 42 00:01:51,920 --> 00:01:54,920 Speaker 2: some of these devices bring, the vast majority of them 43 00:01:55,360 --> 00:01:58,560 Speaker 2: are privacy and security dumpster fire. They're tracking you in 44 00:01:58,600 --> 00:02:01,600 Speaker 2: ways that are not obvious. You probably couldn't understand even 45 00:02:01,640 --> 00:02:05,080 Speaker 2: if they were and that's just another example. But so yeah, 46 00:02:05,120 --> 00:02:09,359 Speaker 2: this Google thing, a sixty eight million dollar lawsuit claims 47 00:02:09,400 --> 00:02:12,760 Speaker 2: that it's virtual assistant secretly recorded users. You and I 48 00:02:12,840 --> 00:02:14,760 Speaker 2: have talked about this off and on for a long time. 49 00:02:14,800 --> 00:02:17,400 Speaker 2: Many people have said, oh wait a minute. You know, 50 00:02:17,680 --> 00:02:19,960 Speaker 2: it feels like these things are listening to me all 51 00:02:19,960 --> 00:02:23,200 Speaker 2: the time. My phone is listening to me. And directly 52 00:02:23,240 --> 00:02:26,040 Speaker 2: from the article. Settlement reached last week in Northern North 53 00:02:26,240 --> 00:02:30,200 Speaker 2: Northern California. Simpson allegations the tool recorded users even when 54 00:02:30,200 --> 00:02:32,959 Speaker 2: they did not preface something with quote hey Google unquote, 55 00:02:33,040 --> 00:02:36,240 Speaker 2: or quote okay Google unquote, or press a button on 56 00:02:36,280 --> 00:02:39,040 Speaker 2: the device, claim the device has recorded them without their 57 00:02:39,040 --> 00:02:42,320 Speaker 2: knowledge or consent, and then they received target advertisements for 58 00:02:42,360 --> 00:02:45,160 Speaker 2: things they did not ask about. Google and the filing 59 00:02:45,240 --> 00:02:50,040 Speaker 2: late Friday said it was settling to avoid the quote uncertainty, risk, expense, inconvenience, 60 00:02:50,080 --> 00:02:53,200 Speaker 2: and distraction unquote of a lengthy court battle that was 61 00:02:53,240 --> 00:02:56,720 Speaker 2: reported in the hill. Or is it possibly because they 62 00:02:56,720 --> 00:03:02,120 Speaker 2: don't want discovery A secret and well done? Yeah, I mean, 63 00:03:02,160 --> 00:03:04,200 Speaker 2: I'm no lawyer, but I know how this works, Brian, 64 00:03:04,400 --> 00:03:08,720 Speaker 2: And you know, is it because sixty eight million dollars 65 00:03:08,760 --> 00:03:11,320 Speaker 2: settlement to Google is probably like, you know, sixty eight 66 00:03:11,360 --> 00:03:12,880 Speaker 2: cents to you and I exactly. 67 00:03:13,280 --> 00:03:16,519 Speaker 1: They have their own, massive, well funded legal department within Google, 68 00:03:16,520 --> 00:03:20,320 Speaker 1: and they also hired the most expensive talented outside council 69 00:03:20,440 --> 00:03:23,760 Speaker 1: at four figures plus per hour, probably at least twenty 70 00:03:23,800 --> 00:03:26,600 Speaker 1: lawyers per law firm assigned to the case. So yeah, 71 00:03:26,639 --> 00:03:28,560 Speaker 1: it all adds up. But to Google, it's a moment 72 00:03:28,600 --> 00:03:30,120 Speaker 1: in time in terms of their revenue. 73 00:03:30,480 --> 00:03:32,920 Speaker 2: But real quick, Brian, I just wanted to say, you know, 74 00:03:33,160 --> 00:03:34,880 Speaker 2: I try to tell this to people all the time. 75 00:03:34,920 --> 00:03:37,040 Speaker 2: You know, I don't have these devices. I don't have 76 00:03:37,160 --> 00:03:41,280 Speaker 2: Nest thermostats, Nest doorbells, ring doorbells, any of this. You know, 77 00:03:41,400 --> 00:03:45,000 Speaker 2: ring has now come under fire again. But I would 78 00:03:45,000 --> 00:03:48,480 Speaker 2: just say people do not understand these things have microphones, 79 00:03:48,520 --> 00:03:50,800 Speaker 2: they have cameras. They've done studies where they'll put these 80 00:03:50,840 --> 00:03:53,440 Speaker 2: sort of quote, you know, smart assistants in a room 81 00:03:53,440 --> 00:03:55,920 Speaker 2: and turn on a TV and watch how often they 82 00:03:55,960 --> 00:03:58,320 Speaker 2: activate when they're not using the wake word. And I 83 00:03:58,320 --> 00:04:00,960 Speaker 2: would just remind people, it must be listening to you 84 00:04:01,040 --> 00:04:04,200 Speaker 2: all the time. Now, should it yeah, should it activate? 85 00:04:04,280 --> 00:04:07,160 Speaker 2: Should it record? Should it do things without you explicitly 86 00:04:07,200 --> 00:04:10,160 Speaker 2: asking it to no, but it must be listening to 87 00:04:10,200 --> 00:04:11,560 Speaker 2: you in order for you to be able to tell 88 00:04:11,560 --> 00:04:12,520 Speaker 2: it to do something right. 89 00:04:12,600 --> 00:04:15,320 Speaker 1: That's from the very get go of these devices. Data 90 00:04:15,400 --> 00:04:18,880 Speaker 1: seems so blank and obvious. How can you not understand 91 00:04:18,920 --> 00:04:20,920 Speaker 1: that it has to listen to you all the time 92 00:04:20,960 --> 00:04:22,720 Speaker 1: in order for it to be operated? 93 00:04:23,480 --> 00:04:25,720 Speaker 2: Which is why I don't have any of these voice assistants. 94 00:04:25,800 --> 00:04:28,920 Speaker 2: I don't use Siri on my Apple phone. It's turned off. 95 00:04:28,960 --> 00:04:31,920 Speaker 2: If I want something, I just type in there. Old school. 96 00:04:31,960 --> 00:04:34,680 Speaker 2: I know, I know that's crazy for people. But in 97 00:04:34,720 --> 00:04:37,680 Speaker 2: this same article they mentioned the settlement comes after Apple 98 00:04:37,680 --> 00:04:40,920 Speaker 2: reached a similar ninety five million dollar settlement last year 99 00:04:41,000 --> 00:04:43,880 Speaker 2: over its voice assistance Siri allegedly listening to private or 100 00:04:43,880 --> 00:04:47,159 Speaker 2: confidential conversations that were then share with third party businesses 101 00:04:47,200 --> 00:04:51,240 Speaker 2: and use to help to cultivate interesting ads. So again, 102 00:04:51,600 --> 00:04:53,840 Speaker 2: none of these things have gone to courd none of 103 00:04:53,880 --> 00:04:59,200 Speaker 2: these have gotten extensive discovery. One could surmise that perhaps 104 00:04:59,240 --> 00:05:01,440 Speaker 2: that is because they don't want the discovery that would 105 00:05:01,480 --> 00:05:06,520 Speaker 2: ultimately prove that is exactly what's happening. So again, folks, 106 00:05:06,640 --> 00:05:09,000 Speaker 2: do what you will if you have fully informed consent 107 00:05:09,080 --> 00:05:10,720 Speaker 2: and you have a house full of these So called 108 00:05:10,760 --> 00:05:15,359 Speaker 2: smart devices. Good good luck with that again talking to 109 00:05:15,400 --> 00:05:17,640 Speaker 2: a guy. There's a great meme. I wish I would 110 00:05:17,640 --> 00:05:19,640 Speaker 2: have come up with it, Brian, And obviously your listeners 111 00:05:19,680 --> 00:05:22,440 Speaker 2: can't see it. But it's a guy that says, you know, 112 00:05:22,520 --> 00:05:26,159 Speaker 2: tech enthusiasts, my house is full of smart devices, tech worker. 113 00:05:26,520 --> 00:05:28,160 Speaker 2: I only have a printer, and I keep a gun 114 00:05:28,160 --> 00:05:29,760 Speaker 2: next to it in case it makes a noise. I 115 00:05:29,760 --> 00:05:34,520 Speaker 2: don't recognize. Be that guy. Be that guy. That's that's me. 116 00:05:34,600 --> 00:05:36,520 Speaker 2: I use that in slide decks all the time when 117 00:05:36,560 --> 00:05:39,799 Speaker 2: I'm talking about this stuff out, you know, in various settings, 118 00:05:40,080 --> 00:05:42,800 Speaker 2: like you should be that guy. This stuff is so immature, 119 00:05:43,400 --> 00:05:46,760 Speaker 2: it is not consumer friendly. People don't understand how to 120 00:05:46,839 --> 00:05:49,760 Speaker 2: configure it correctly. It don't understand the kind of data 121 00:05:49,800 --> 00:05:52,159 Speaker 2: it can collect. They don't know how to update it. 122 00:05:52,200 --> 00:05:54,480 Speaker 2: So it's a it's a double whammy of it's a 123 00:05:54,560 --> 00:05:57,680 Speaker 2: you know, an Orwellian privacy device as well as it's 124 00:05:57,680 --> 00:06:00,800 Speaker 2: full of software that's probably misconfigured, not set up right, 125 00:06:01,160 --> 00:06:05,080 Speaker 2: comes from China, et cetera, et cetera, et cetera. We're 126 00:06:05,120 --> 00:06:07,480 Speaker 2: at a place where this stuff. You should not use 127 00:06:07,480 --> 00:06:09,240 Speaker 2: this stuff. I'll just leave it at that I don't 128 00:06:09,600 --> 00:06:10,320 Speaker 2: do what you will. 129 00:06:11,800 --> 00:06:15,160 Speaker 1: Thank you, Dave for reminding people what you regularly remind. 130 00:06:15,160 --> 00:06:17,120 Speaker 1: You can use as much time in Tech Friday's Dave 131 00:06:17,120 --> 00:06:20,080 Speaker 1: Hatter segment as you want to remind people. Just get 132 00:06:20,160 --> 00:06:22,800 Speaker 1: rid of those stupid devices. Six thirty five Coming up, 133 00:06:22,839 --> 00:06:26,000 Speaker 1: we've got more of the hidden price of clicks. That's 134 00:06:26,040 --> 00:06:34,680 Speaker 1: an expertversa REALI six fifty five per se de talk 135 00:06:34,720 --> 00:06:37,320 Speaker 1: stations a little. Why why is he there? Moving pictures? 136 00:06:37,400 --> 00:06:40,440 Speaker 1: Just turned forty five years old yesterday, Dave Hatter Rush fan. 137 00:06:40,680 --> 00:06:44,320 Speaker 1: You are as am I crazy, isn't it? I'm so old? 138 00:06:44,400 --> 00:06:45,960 Speaker 1: Oh my god, I remember when the album came out 139 00:06:45,960 --> 00:06:49,240 Speaker 1: in nineteen eighty one. Oh I just love that album too. Anyhow, 140 00:06:49,279 --> 00:06:52,279 Speaker 1: Tech Fridday, Dave had this is really freaky, and I 141 00:06:52,320 --> 00:06:54,520 Speaker 1: think of this when I think about the Kroger card. 142 00:06:54,560 --> 00:06:57,720 Speaker 1: But go ahead and launch into congratulations. Another Kentucky Tribune 143 00:06:57,960 --> 00:07:04,120 Speaker 1: covered you, Jacob Klaib reporting on the surveillance pricing quality 144 00:07:04,400 --> 00:07:08,240 Speaker 1: raising our prices the hidden cost of clicks, Dave. 145 00:07:08,160 --> 00:07:10,840 Speaker 2: So Brian, this is a perfect segue. Thank you Joe 146 00:07:10,840 --> 00:07:14,280 Speaker 2: Strecker for picking these topics today from the last article. 147 00:07:14,680 --> 00:07:16,960 Speaker 2: One of the ways that you get all the data 148 00:07:17,080 --> 00:07:19,560 Speaker 2: used for surveillance pricing is from all your so called 149 00:07:19,600 --> 00:07:23,360 Speaker 2: smart devices. It's not only as you're in thermostat, your doorbell, 150 00:07:23,480 --> 00:07:27,000 Speaker 2: your TV, your refrigerator, your dryer, your car, your phone, 151 00:07:27,720 --> 00:07:33,280 Speaker 2: you know, et cetera. It's you know, every website, you visit, 152 00:07:33,480 --> 00:07:36,880 Speaker 2: everything you do. You mentioned it leading into that last segment, right, 153 00:07:36,920 --> 00:07:39,360 Speaker 2: We're being tracked everywhere all the time. You're leaving these 154 00:07:39,400 --> 00:07:43,640 Speaker 2: digital breadcrumbs. Some call it digital exhaust everywhere. The more 155 00:07:43,720 --> 00:07:47,560 Speaker 2: devices that have software in them, the more tracking there is, 156 00:07:47,600 --> 00:07:51,000 Speaker 2: not to mention the security components, and this has recently 157 00:07:51,040 --> 00:07:54,920 Speaker 2: come up. So I stumbled into an article that led 158 00:07:54,960 --> 00:07:56,920 Speaker 2: me down a rabbit hole on this. So I'm just 159 00:07:56,960 --> 00:07:58,280 Speaker 2: going to read a little bit of this and then 160 00:07:58,320 --> 00:08:00,800 Speaker 2: get right to the meat of it. Why Post columnist 161 00:08:00,880 --> 00:08:04,000 Speaker 2: Jeffrey Fowler requested his personal data from Starbucks. He expected 162 00:08:04,000 --> 00:08:07,080 Speaker 2: a simple purchase log. Instead, he received an eight page 163 00:08:07,120 --> 00:08:10,400 Speaker 2: dossier detailing every drink, every snack, every tap in the 164 00:08:10,440 --> 00:08:14,080 Speaker 2: Starbucks have even more surprising, now, wait for it, even 165 00:08:14,120 --> 00:08:17,679 Speaker 2: more surprising. The more loyal he became, the fewer deals 166 00:08:17,680 --> 00:08:18,480 Speaker 2: he received. 167 00:08:18,840 --> 00:08:21,240 Speaker 1: Because he's a loyal customer, why would they get the 168 00:08:21,280 --> 00:08:23,320 Speaker 1: deal they know he's coming in all the time. 169 00:08:23,840 --> 00:08:25,280 Speaker 2: That's exactly right. 170 00:08:25,240 --> 00:08:29,040 Speaker 1: Past don't get a loyalty card. More discounts coming your. 171 00:08:28,880 --> 00:08:33,280 Speaker 2: Way, and you know it. So for a long time 172 00:08:33,760 --> 00:08:37,640 Speaker 2: there's been this idea of dynamic pricing. People might have 173 00:08:37,720 --> 00:08:40,800 Speaker 2: heard this terminology specifically with things like Uber or Lyft 174 00:08:40,840 --> 00:08:43,960 Speaker 2: with surge pricing. You go to a concert at River Bend, 175 00:08:44,400 --> 00:08:46,680 Speaker 2: and suddenly it gets much more expensive to get an 176 00:08:46,760 --> 00:08:49,360 Speaker 2: uber right, as opposed to if you just called an 177 00:08:49,440 --> 00:08:52,360 Speaker 2: Uber over to let's say the casino on a Friday night. 178 00:08:52,720 --> 00:08:56,400 Speaker 2: Instead it's a sold out concert, your price goes way up. Right, 179 00:08:56,559 --> 00:08:59,360 Speaker 2: So it might say, okay, again, this has been around 180 00:08:59,400 --> 00:09:01,080 Speaker 2: for a long time. You're in a zip code that 181 00:09:01,120 --> 00:09:03,640 Speaker 2: appears to be more affluent than me, so you go 182 00:09:03,720 --> 00:09:06,080 Speaker 2: to buy something on an e commerce website and you 183 00:09:06,160 --> 00:09:07,280 Speaker 2: get a different price than me. 184 00:09:07,480 --> 00:09:10,160 Speaker 1: Oh that's hilarious, real quick. I got to say this 185 00:09:10,160 --> 00:09:12,120 Speaker 1: because it reminds me we lived in a Chicago We 186 00:09:12,200 --> 00:09:14,800 Speaker 1: had a house in Oak Park and River Forest was 187 00:09:14,840 --> 00:09:17,720 Speaker 1: the next neighborhood over a far wealthier neighborhood. We used 188 00:09:17,720 --> 00:09:21,040 Speaker 1: to joke about the Oak Park price versus the River 189 00:09:21,120 --> 00:09:24,200 Speaker 1: Forest price. Like when it came to home construction or projects. 190 00:09:24,320 --> 00:09:25,880 Speaker 1: It was cheaper at Oak Park than it was the 191 00:09:26,000 --> 00:09:28,079 Speaker 1: River Forest because the people knew that they were wealthier 192 00:09:28,120 --> 00:09:29,440 Speaker 1: people river Forest. 193 00:09:30,400 --> 00:09:33,320 Speaker 2: Yeah. Well so it's the same basic idea. But you know, 194 00:09:33,440 --> 00:09:36,240 Speaker 2: now thanks to all this digital technology, again, I can 195 00:09:36,280 --> 00:09:38,240 Speaker 2: look at your IP address, figure out you're in a 196 00:09:38,240 --> 00:09:40,559 Speaker 2: different zip code and gives you a different maybe a 197 00:09:40,880 --> 00:09:45,199 Speaker 2: higher or lower price as a result. So surveillance pricing 198 00:09:45,320 --> 00:09:48,200 Speaker 2: takes it to the next level, which is, now it's 199 00:09:48,240 --> 00:09:51,760 Speaker 2: not just about you know, perhaps one demographic factor. I 200 00:09:51,760 --> 00:09:54,560 Speaker 2: can figure out about you. So much data is out 201 00:09:54,559 --> 00:09:57,480 Speaker 2: there about you now being collected about you via all 202 00:09:57,520 --> 00:10:01,920 Speaker 2: these so called smart devices, all this online activity which 203 00:10:02,000 --> 00:10:05,120 Speaker 2: is then sold to data brokers who coalate even more 204 00:10:05,120 --> 00:10:08,600 Speaker 2: of it into Again, just Starbucks had an eight page 205 00:10:08,640 --> 00:10:12,040 Speaker 2: dots on this one reporter. Imagine all the things you 206 00:10:12,120 --> 00:10:14,160 Speaker 2: do online. If all of that were being bought and 207 00:10:14,200 --> 00:10:17,640 Speaker 2: sold and accumulated, how much detailed information there would be 208 00:10:17,640 --> 00:10:21,800 Speaker 2: available about you? Now the concept of surveillance pricing. Now 209 00:10:21,880 --> 00:10:25,719 Speaker 2: I can look at very detailed psychographic data about you 210 00:10:26,280 --> 00:10:29,480 Speaker 2: and give you a different price than someone else. Right, 211 00:10:29,520 --> 00:10:32,120 Speaker 2: And this in my article I kind of break it 212 00:10:32,160 --> 00:10:35,400 Speaker 2: down traditional dynamic pricing price has changed for everyone based 213 00:10:35,480 --> 00:10:40,720 Speaker 2: on time, demand, inventory, etc. It's somewhat transparent. Surveillance pricing 214 00:10:40,800 --> 00:10:44,120 Speaker 2: applies to you individually. It's based on your personal data, 215 00:10:44,520 --> 00:10:48,400 Speaker 2: and it's opaque and difficult or impossible to detect. And 216 00:10:48,960 --> 00:10:52,600 Speaker 2: now again thanks to Kentucky's Consumer Data Protection Act, as 217 00:10:52,640 --> 00:10:55,000 Speaker 2: a Kentuckian, you can potentially go out and start to 218 00:10:55,040 --> 00:10:58,800 Speaker 2: request some of this data gets deleted. That's a monumental task, 219 00:10:58,840 --> 00:11:01,480 Speaker 2: by the way, I'm not suggesting it simple. And in 220 00:11:01,520 --> 00:11:04,000 Speaker 2: this article, I'll post this out there. I've posted this 221 00:11:04,120 --> 00:11:07,480 Speaker 2: article numerous times in my social media individually, I'll post 222 00:11:07,520 --> 00:11:10,000 Speaker 2: it again. I'll put it in today's show notes. People 223 00:11:10,040 --> 00:11:12,240 Speaker 2: should go read this because I have several examples of 224 00:11:12,520 --> 00:11:16,600 Speaker 2: how this could be used. And the point I'm trying 225 00:11:16,600 --> 00:11:19,160 Speaker 2: to make is not so much justice one thing. It's 226 00:11:19,200 --> 00:11:21,760 Speaker 2: that we are increasingly in a digital world where all 227 00:11:21,760 --> 00:11:24,200 Speaker 2: this data is being collected about you, and this is 228 00:11:24,280 --> 00:11:26,480 Speaker 2: just one of many ways this data can be used. 229 00:11:26,840 --> 00:11:30,120 Speaker 2: In this case, I would argue against you not to 230 00:11:30,200 --> 00:11:32,760 Speaker 2: mention things like because all this data is being collected, 231 00:11:32,800 --> 00:11:35,480 Speaker 2: and because people keep buying these IoT devices and putting 232 00:11:35,480 --> 00:11:37,880 Speaker 2: more and more and more about themselves out there. You know, 233 00:11:38,000 --> 00:11:40,480 Speaker 2: determination that we don't like the way you behave, so 234 00:11:40,520 --> 00:11:43,160 Speaker 2: we're going to increase your insurance premium, or we're going 235 00:11:43,200 --> 00:11:45,600 Speaker 2: to cancel your insurance, or you're not going to get 236 00:11:45,640 --> 00:11:48,800 Speaker 2: a job because they're using tools to analyze this data 237 00:11:48,800 --> 00:11:52,200 Speaker 2: and decide you won't be a good employee, etcetera, etcetera, etcetera. 238 00:11:53,040 --> 00:11:56,080 Speaker 1: Right, parably orwellian? I mean to boil it down again 239 00:11:56,240 --> 00:11:59,120 Speaker 1: using that too often use word yes. 240 00:11:59,280 --> 00:12:01,720 Speaker 2: And you know in article I give some basic tips 241 00:12:01,720 --> 00:12:04,640 Speaker 2: about how to reduce your digital footprint, how to improve 242 00:12:04,679 --> 00:12:07,160 Speaker 2: your privacy. You know, I've said this on here many 243 00:12:07,240 --> 00:12:09,640 Speaker 2: times and posted it many times. I put together a 244 00:12:09,720 --> 00:12:16,120 Speaker 2: list of the privacy friendly sites, apps, whatever you want 245 00:12:16,120 --> 00:12:20,520 Speaker 2: to call them, that I personally use. You know, are 246 00:12:20,559 --> 00:12:25,120 Speaker 2: they perfect? No, Most of these companies have their issues. 247 00:12:25,280 --> 00:12:28,320 Speaker 2: Some are much more privacy friendly than others. But you know, 248 00:12:28,360 --> 00:12:31,720 Speaker 2: you can take steps to reduce your digital footprint. You 249 00:12:31,760 --> 00:12:34,040 Speaker 2: can take steps to limit the impact this sort of 250 00:12:34,040 --> 00:12:36,120 Speaker 2: thing has on you, but you have to make a 251 00:12:36,160 --> 00:12:38,800 Speaker 2: conscious effort to do it. And part of that is 252 00:12:38,840 --> 00:12:42,080 Speaker 2: to strip out all of these insane so called smart 253 00:12:42,080 --> 00:12:44,599 Speaker 2: devices people have in their house. And I think what 254 00:12:44,720 --> 00:12:47,040 Speaker 2: people if people go out and start to dig into 255 00:12:47,120 --> 00:12:49,240 Speaker 2: like the I don't know, Brian, I have you seen 256 00:12:49,240 --> 00:12:52,360 Speaker 2: all the feedback or the blowback on the Amazon Ad 257 00:12:52,360 --> 00:12:55,800 Speaker 2: from the Super Bowl and block cameras and then now 258 00:12:55,840 --> 00:12:58,319 Speaker 2: this nest thing with the gut three case. You know, 259 00:12:58,559 --> 00:13:01,160 Speaker 2: I'm hoping this is going to to wake people up 260 00:13:01,720 --> 00:13:06,720 Speaker 2: to the unbelievable surveillance you are voluntarily putting yourself under 261 00:13:07,040 --> 00:13:09,920 Speaker 2: when you use these things, Dave. 262 00:13:09,960 --> 00:13:11,760 Speaker 1: That's why we're lucky to have you in the importance 263 00:13:11,760 --> 00:13:14,280 Speaker 1: of this particular segment. You have been on this bandwagon 264 00:13:14,320 --> 00:13:17,760 Speaker 1: for literally years, so more and more people waken up. 265 00:13:17,760 --> 00:13:19,240 Speaker 1: To maybe take a while for people to come around, 266 00:13:19,240 --> 00:13:21,080 Speaker 1: but finally the message seems to be sinking in. One 267 00:13:21,080 --> 00:13:25,000 Speaker 1: more with Deep talk Station six. If you want put 268 00:13:25,000 --> 00:13:27,440 Speaker 1: you about garsd Talk station and tech Bardi's Dave Hatter 269 00:13:27,520 --> 00:13:30,280 Speaker 1: intrust it dot com. Find Dave and his team to 270 00:13:30,280 --> 00:13:32,720 Speaker 1: help you get out of your business related computer issues 271 00:13:33,320 --> 00:13:36,720 Speaker 1: Dave Hat or another one. We're talking about fake banks, 272 00:13:36,760 --> 00:13:38,280 Speaker 1: exploiting search and trust. 273 00:13:39,160 --> 00:13:40,840 Speaker 2: Yeah, Brian, I want to veer off on this for 274 00:13:40,880 --> 00:13:42,400 Speaker 2: the one second kind. I want to tell a real 275 00:13:42,400 --> 00:13:44,679 Speaker 2: world story that's kind of related, and I think this 276 00:13:44,720 --> 00:13:46,960 Speaker 2: is going to blow people's minds. Now, I know the 277 00:13:47,000 --> 00:13:50,760 Speaker 2: person this happened to personally, Okay, okay, So I'm going 278 00:13:50,840 --> 00:13:53,280 Speaker 2: to tell you a real world story. Person. I know. 279 00:13:53,720 --> 00:13:56,679 Speaker 2: It's a text. It appears to come from a bank, 280 00:13:57,080 --> 00:14:00,760 Speaker 2: a known bank. It's easy to spoof a phone number 281 00:14:00,840 --> 00:14:03,120 Speaker 2: for a phone call or a text. It is trivially 282 00:14:03,200 --> 00:14:06,880 Speaker 2: easy to make the incoming phone call or text message 283 00:14:06,880 --> 00:14:09,320 Speaker 2: appear to come from any number I want. People don't 284 00:14:09,360 --> 00:14:12,520 Speaker 2: seem to understand this. It does not even require much skill. 285 00:14:13,720 --> 00:14:16,120 Speaker 2: This person gets a phone call or a text rather 286 00:14:16,280 --> 00:14:20,240 Speaker 2: from a bank. They think it's their bank number. Looks legit. 287 00:14:20,800 --> 00:14:24,480 Speaker 2: They take they call the number. They get on the 288 00:14:24,480 --> 00:14:28,000 Speaker 2: phone with an actual live con artist, Yeah okay, who 289 00:14:28,040 --> 00:14:31,800 Speaker 2: tells them they're investigating the bank and they need them 290 00:14:31,840 --> 00:14:35,000 Speaker 2: to go and take money out of their atm, which 291 00:14:35,040 --> 00:14:39,480 Speaker 2: they do and put the money into another atm. Oh 292 00:14:39,560 --> 00:14:42,680 Speaker 2: my god, which of course the bad guys control. What 293 00:14:42,760 --> 00:14:44,320 Speaker 2: do you think happened to their money? 294 00:14:44,880 --> 00:14:47,000 Speaker 1: Oh it's coy, I wonder, Dave. 295 00:14:47,200 --> 00:14:50,160 Speaker 2: This is this is real, Brian, This again, I know 296 00:14:50,280 --> 00:14:55,680 Speaker 2: this person personally, Okay, this just happened. People have got 297 00:14:55,680 --> 00:14:59,480 Speaker 2: to understand the level of sophistication of these con artists, 298 00:14:59,480 --> 00:15:03,160 Speaker 2: not the textchnical sophistication, because this what they did was 299 00:15:03,200 --> 00:15:05,680 Speaker 2: not really technical at all. They spoofed a phone number 300 00:15:05,920 --> 00:15:09,040 Speaker 2: and then they con someone with social engineering. Yeah, this 301 00:15:09,080 --> 00:15:13,760 Speaker 2: is happening every day people, every single day. Phishing emails, 302 00:15:13,880 --> 00:15:19,040 Speaker 2: phishing texts, actual phishing voice calls are going out. Your 303 00:15:19,160 --> 00:15:22,480 Speaker 2: data is everywhere, finding that you use a certain bank, 304 00:15:22,640 --> 00:15:25,840 Speaker 2: and then making a bogus phone caller text from that bank, 305 00:15:25,880 --> 00:15:29,680 Speaker 2: a spoofed number call from that bank to your phone number, 306 00:15:29,880 --> 00:15:33,280 Speaker 2: and one hundred million other phone numbers. It's trivial. Yeah, 307 00:15:33,320 --> 00:15:35,760 Speaker 2: all they need is one person to pick up the phone. 308 00:15:36,160 --> 00:15:38,920 Speaker 2: If I steal a thousand dollars from you, that's a 309 00:15:38,960 --> 00:15:41,440 Speaker 2: good day. Yeah right, Most people don't make a thousand 310 00:15:41,480 --> 00:15:43,840 Speaker 2: dollars tax free a day. If I can do that 311 00:15:43,960 --> 00:15:47,000 Speaker 2: ten times a day, I'm rolling. You are rolling. 312 00:15:47,520 --> 00:15:50,280 Speaker 1: I've actually gotten those day the fake message. I have 313 00:15:50,920 --> 00:15:53,920 Speaker 1: two separate institutions. I bank with shaff Fact, so of 314 00:15:53,960 --> 00:15:56,280 Speaker 1: course I speak for, but my other bank, I've received 315 00:15:56,280 --> 00:15:59,480 Speaker 1: several emails purporting to be from my bank and reaching 316 00:15:59,480 --> 00:16:03,320 Speaker 1: out to me for similar very suspicious purposes. Talk about delete, 317 00:16:03,360 --> 00:16:05,600 Speaker 1: taking me about two seconds to figure out. Now, screw 318 00:16:05,640 --> 00:16:07,200 Speaker 1: that if they really need to get in touch me, 319 00:16:07,280 --> 00:16:08,680 Speaker 1: they're going to know how to do it properly. 320 00:16:10,000 --> 00:16:14,200 Speaker 2: I've gotten these sort of things too, But folks, do 321 00:16:14,320 --> 00:16:17,120 Speaker 2: not take the calls, do not click the links, do 322 00:16:17,240 --> 00:16:20,240 Speaker 2: not text back to the numbers. If you get something 323 00:16:20,320 --> 00:16:23,240 Speaker 2: like this that claims to be from your bank, stop 324 00:16:23,280 --> 00:16:27,000 Speaker 2: what you're doing and then go log into your bank's website, 325 00:16:27,240 --> 00:16:29,560 Speaker 2: use the banking app on your phone, look up a 326 00:16:29,640 --> 00:16:32,680 Speaker 2: number from the credit card statement or bank statement you get, 327 00:16:33,760 --> 00:16:36,200 Speaker 2: go directly to them. We nerds like to call it 328 00:16:36,240 --> 00:16:39,560 Speaker 2: out of band. Go out of band, don't take debate, 329 00:16:40,040 --> 00:16:42,600 Speaker 2: and no bank is going to tell you transfer your 330 00:16:42,600 --> 00:16:44,680 Speaker 2: money to another bank. Go get money out of an 331 00:16:44,720 --> 00:16:47,400 Speaker 2: ATM and put it in another ATM. No legitimate bank 332 00:16:47,440 --> 00:16:48,240 Speaker 2: is going to do that. 333 00:16:48,320 --> 00:16:50,640 Speaker 1: That's so funny that people would fall for that, Dave. 334 00:16:50,720 --> 00:16:54,720 Speaker 2: I'm sorry, it's it's you know, say I sought your. 335 00:16:54,680 --> 00:16:57,320 Speaker 1: Friend, but that just seems so damn obvious. 336 00:16:57,680 --> 00:17:00,400 Speaker 2: Brian. You know, as a result of all this media 337 00:17:00,440 --> 00:17:02,840 Speaker 2: I'm doing, I get lots of calls from people who've 338 00:17:02,840 --> 00:17:07,080 Speaker 2: been scammed, identity theft. It's really tragic the kind of 339 00:17:07,119 --> 00:17:08,919 Speaker 2: things that are happening to people. So to hit this 340 00:17:09,040 --> 00:17:11,439 Speaker 2: last point real quick, because it is important. So a 341 00:17:11,440 --> 00:17:14,960 Speaker 2: resecourch company showed in the past year they found more 342 00:17:15,000 --> 00:17:19,520 Speaker 2: than wait for it, eleven thousand eleven thousand fraudulent bank 343 00:17:19,600 --> 00:17:23,400 Speaker 2: domains eight thousand in the US alone. So bad guys 344 00:17:23,440 --> 00:17:28,080 Speaker 2: are going out registering a lookalike or doppelganger domain for 345 00:17:28,200 --> 00:17:32,040 Speaker 2: fifth third USAA city bank fill in the blank. They're 346 00:17:32,119 --> 00:17:34,720 Speaker 2: copying the real things. They set up something that looks 347 00:17:34,800 --> 00:17:37,880 Speaker 2: exactly like it. They spend time and energy to make 348 00:17:37,880 --> 00:17:41,080 Speaker 2: it search engine optimized. It's a concept called search engine poison. 349 00:17:41,200 --> 00:17:44,000 Speaker 2: You can't just because you go search on a search engine, 350 00:17:44,080 --> 00:17:47,240 Speaker 2: don't use Google, use Bing or Duck, Duco or Brave 351 00:17:47,320 --> 00:17:50,000 Speaker 2: or something else. But when you search, they're not verifying 352 00:17:50,000 --> 00:17:52,760 Speaker 2: those links. The bad guys know they can use the 353 00:17:52,800 --> 00:17:55,840 Speaker 2: search engines to lure you to websites because they know 354 00:17:55,920 --> 00:17:58,679 Speaker 2: people don't realize that those links aren't being checked in 355 00:17:58,680 --> 00:18:01,640 Speaker 2: any way. Right, they say in the article, they're polished 356 00:18:01,720 --> 00:18:06,399 Speaker 2: SEO optimized platforms that impersonate legitimate financial institutions, regulators and 357 00:18:06,480 --> 00:18:09,080 Speaker 2: lending services. Okay, so they get you to go to 358 00:18:09,119 --> 00:18:11,280 Speaker 2: one of these things, they'll run you through know your 359 00:18:11,280 --> 00:18:13,919 Speaker 2: customer stuff to make it feel like you're working with 360 00:18:14,000 --> 00:18:16,280 Speaker 2: a real bank. So you're going to open a new account, 361 00:18:16,359 --> 00:18:18,320 Speaker 2: You're going to ask for a loan, whatever it is 362 00:18:18,359 --> 00:18:21,640 Speaker 2: you're trying to do right. The article mentions search engine 363 00:18:21,680 --> 00:18:24,639 Speaker 2: optimization as an attack vector rather than relying on spam 364 00:18:24,720 --> 00:18:28,920 Speaker 2: or malware delivery. They're gaming search engine algorithms to get 365 00:18:29,040 --> 00:18:32,840 Speaker 2: you to these bogus websites, and then they run you 366 00:18:32,880 --> 00:18:36,800 Speaker 2: through their channel. They steal your credentials, they steal your identity, 367 00:18:37,200 --> 00:18:40,399 Speaker 2: they steal money for some upfront fee or something that 368 00:18:40,440 --> 00:18:44,280 Speaker 2: they want you to pay on these things. Eleven thousand 369 00:18:44,600 --> 00:18:50,200 Speaker 2: fake banking sites in one year. And the point being Brian, 370 00:18:50,920 --> 00:18:56,600 Speaker 2: you cannot assume that anything you get, especially if it's unsolicited, 371 00:18:57,160 --> 00:18:59,880 Speaker 2: is The average person cannot assume that anything they get, 372 00:19:00,400 --> 00:19:03,200 Speaker 2: especially unsolicit, is legit. You have got to go out 373 00:19:03,240 --> 00:19:06,240 Speaker 2: of band. You have got to verify things before you 374 00:19:06,320 --> 00:19:07,720 Speaker 2: click a link and log into something. 375 00:19:07,760 --> 00:19:10,240 Speaker 1: And real question, I gotta get it out dare because 376 00:19:10,240 --> 00:19:12,240 Speaker 1: it parallels real nice and we've talked about this before, 377 00:19:12,320 --> 00:19:16,719 Speaker 1: because they can voice clone with one accuracy and do 378 00:19:16,760 --> 00:19:18,959 Speaker 1: the fake phone number, so it looks like I got 379 00:19:19,000 --> 00:19:20,639 Speaker 1: a call coming in from my mom, my mom, and 380 00:19:20,680 --> 00:19:23,000 Speaker 1: I have a code word. If she's calling me and 381 00:19:23,040 --> 00:19:25,080 Speaker 1: she says she's in distress and she needs Oh I 382 00:19:25,119 --> 00:19:28,639 Speaker 1: don't know a gift card from Apple or whatever. I say, uh, 383 00:19:28,920 --> 00:19:32,159 Speaker 1: what's our code word? And artificial intelligence won't know the 384 00:19:32,200 --> 00:19:32,680 Speaker 1: code word? 385 00:19:32,720 --> 00:19:35,080 Speaker 2: So do that it will not We love it anyway. Yes, 386 00:19:35,320 --> 00:19:37,160 Speaker 2: that pass exactly right. 387 00:19:37,280 --> 00:19:39,520 Speaker 1: Dave Hatter You can find him at LinkedIn dot com. 388 00:19:39,560 --> 00:19:41,159 Speaker 1: Just search for Dave. Howd you get the articles that 389 00:19:41,200 --> 00:19:43,280 Speaker 1: he relies upon and stuff he does throughout the weekday. 390 00:19:43,320 --> 00:19:45,320 Speaker 1: Thank you so much for this segment. Thanks to Interest. 391 00:19:45,359 --> 00:19:47,240 Speaker 1: I t your company for sponsoring it. We'll do this 392 00:19:47,280 --> 00:19:49,280 Speaker 1: again next Friday and have a great week between now 393 00:19:49,320 --> 00:19:49,560 Speaker 1: and then. 394 00:19:49,560 --> 00:19:52,480 Speaker 2: My friend, Oh, it is my pleasure. Thanks Brian six. 395 00:19:52,480 --> 00:19:55,119 Speaker 1: Fifty seven fifty five Kcity Talk station. Former Meryl candidate 396 00:19:55,119 --> 00:19:56,560 Speaker 1: Corey Bowman returns after the top of their