Every argument clarity score on this site is built from rows on this page. Each
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Answered raw tape
D 5 · C 5 · P 5 · Cm 4 4.85
Q So what kinds of privacy issues do end users and brands face?
A There's really kind of a couple key areas. One is, is, is around, um, advertising. And the other is around on what's called on page digital objects. And so let me kind of explain why each of those are important. So advertising, especially what's called programmatic targeted advertising really funds the open web that we've grown used to. That's why content is free and 80 to 90% of news is paid for by ads. Although we say we see paywalls from time to time. Digital ads are over 70% of all ads, um, in marketing. It's about a half a trillion spend globally. So that's, that's the one side of it. Now digital objects, which may be a little bit harder to conceive of, those are like tags on pages, pixels, beacons. Uh, they, they enable commerce on the web and. 95% of marketing websites use Google analytics, which is a very well-known, um, Example of this, but there's other, other tags out there too. Facebook has pixels that have gained some notoriety and, um, and there's many more, but these, these allow, um, Measurement of conversions to know if somebody saw an ad or took an action later, are those two connected? And, um, and that's a really the, the two, the two key parts of it. But the problem is that both online advertising and on-page digital objects may sell and share data, which violates newly enacted consumer rights. Newly enacted, I say in the US, because as we record this on Ja…
AI assessment note: “both online advertising and on-page digital objects may sell and share data, which violates”
Answered raw tape
D 5 · C 5 · P 5 · Cm 4 4.85
Q How can companies become compliant for these new laws? Would it be sufficient to just say we're GDPR compliant and that's good enough? Or is there differences in actual compliance for the US?
A There is some merit to that. If you, if you plan and you orient around the most stringent laws in the world, if you're, say you're a global business, then you're not wrong. It's much better, in my opinion, to do that than to try to geofence your users and try to do the Virginia thing for Virginia residents and the Colorado thing for Colorado residents and the California thing for California residents because, uh, IP identification is not infallible. So yes, if you're a global business, many already have managed to the stringent elements of GDPR and then set that as their global standard. Um, but there's other things I would say companies should do beyond that because it really starts with assigning a leader for your data privacy program, and it doesn't need to be as formalized as the data protection officers that are required under GDPR. Um, you can, if you're just operating in the US, for example, just, just assign someone, um, whose, whose point on that. The second thing though is really understanding where your data is going and mapping your data across the organization, because many businesses just don't know. They don't know where their own data is kept. They don't have all their databases in alignment, and they don't know what their vendors are doing with the data either. So knowing where your pockets of data are and inventorying that, and there's, there's good frameworks…
AI assessment note: “There is some merit to that... managed to the stringent elements of GDPR”
Answered raw tape
D 5 · C 5 · P 5 · Cm 4 4.85
Q So how can companies figure out how to map their data then?
A If you pick one of these frameworks, like NIST is a good one. If you pay attention to what's called PII, personally identifiable information or sensitive data, and again, sensitive data would be health, race, religion, religion, politics, union membership, immigration status. You, um, and you recognize that your, your data sprawl is likely, even if you're a small business, just track which databases you're using, um, what APIs you may have set up or data flows or data transfers to external partners. And why this is so important is because there's the right in, in California, um, for access and delete, meaning contact a business and require that business to tell that, to tell you all the data that they have on you and then delete it if you request and, and correct it also. This is a very hard thing to do to access, delete, and correct if you don't know where the data is. So that I think is really, really key around data flow. Where it's moving between systems and this full life cycle concept. What are the rules you want to set for the people who own that data and operate that data? And what third parties are, do you want to, um, do you want to honor as well? So I think that's, that's a good place to start. There are, um, consultants out there that can help you, um, get started with that. And there's software like boltives that helps automate the process, but that's where I would…
AI assessment note: “just track which databases you're using, um, what APIs you may have set up”
Answered raw tape
D 5 · C 5 · P 5 · Cm 4 4.85
Q How are you able to discover the malware and these other issues that these brands are facing and their end users are dealing with?
A We have two technologies which are scanning and blocking, and the scanning that we do Is, which is protected by several patents is, is to undertake user journeys. So we visit websites, we, uh, simulate real users, and we do this in partnership with these websites. So if we're working with a travel company, we might be business travelers. If we're working with an athletic company, we might be college athletes. If we're working with a consumer goods company, we might emulate young parents and you can do this Emulating the patterns, the browsing history, the purchase history of these different personas. And we scan, meaning we, we go through the customer journey, we visit websites, we, we click on things, we, we browse things, we, we consume ads, and we record everything that's going on to see if anything contains malware, contains Trojans, contains redirects, malicious browser extensions, if those are resident in the ads. And then that's, that's the scanning part. But then we supplement that with blocking, which is everything I've described to you so far requires no integration. But the, um, the blocking portion is, is a line of code that then sits on websites. And then when one of these signatures comes up, one of these problems comes up, we can block it and replace that with a good ad and make sure that the user experience and the revenue and the marketing reach aren't interrup…
AI assessment note: “we simulate real users... and we record everything that's going on to see if anything contains malware”
Answered raw tape
D 5 · C 5 · P 5 · Cm 4 4.85
Q So is there anything we haven't talked about that you'd like to add?
A If we think about where marketing is going and where the world is going, I guess that there's been this, this movement. Um, I think if we take a little bit of history, I think there's a nice history lesson here because privacy was a non-event really until about 15 years ago. No one really talked about privacy and the origin of tracking on the web Came about because of changes in media and with the rise of the internet, and more importantly, with the rise of search engines, you got this starting point for web surfers where people weren't using the web like they used to use magazines, like the dawn of the internet, you were going to MSN, you're going to AOL, you're going to Yahoo, and that's the destination. That's where all your content was. So if you're buying a car, you're going to go to Yahoo, you're gonna go to MSN, you're gonna go AOL, and you're gonna research. But then when search engines came around, The audience fragmented and you've got all these different places where you can visit sites and learn about cars. And that's where cookies came along, right? We didn't, we haven't spent a lot of time talking about cookies here, but the, the first unique cookie was, was invented in 94 by Netscape by a young engineer who was simply trying to allow a browser to remember, um, Private privately and anonymously remember a user that had signed in or had something in their shopping …
AI assessment note: “We didn't, we haven't spent a lot of time talking about cookies here”
Partly raw tape
D 3 · C 4 · P 4 · Cm 3 3.55
Q I'd like you to go into these two new laws that were just passed. Um, you mentioned the names of them, but what do they actually do and how are they different from each other? And, and are they basically just clones of GDPR or not?
A GDPR started it all. Um, so that is true. And, and many, many laws around the world have sought to emulate GDPR, including what's going on in the U S but, um, California is really the leader in the U S California. What you'll find is we'll talk about California, Virginia, but there's actually three, um, other states, uh, that are, um, that are passing laws as well, uh, later this year, but California and Virginia are the real trendsetters around this and, uh, and California in particular. California passed the CCPA, um, in 2018 through, um, our legislative process. And I think it took effect in 2020. And then it wasn't strong enough. So they passed an amendment called CPRA, which was through the referendum, which meant it was, it was, uh, initiated by the voters or initiated by, uh, interest groups and, and voted in by the voters, not the legislature.
AI assessment note: “many, many laws around the world have sought to emulate GDPR”
