Hello there everyone and welcome back to RegateDBale, the Radio Show podcast, whatever this is, where we talk about nothing other than data. Where are we? Where are we? Where we talk about nothing?
Yes, where we talk about nothing. Of value to anyone. But there is also some beer and some data. Yeah.
Normally I say databases but today's very much going to be a data focused event. Now as always my name is Chris. Nice to know. And his name is also Chris.
So Chris what do we have in store for everyone today? So today Chris we are going to drink some beer and talk about data. Well that's incredible Chris. Yeah.
We should start a podcast. No that would be a terrible terrible idea. I agree. You have listened to it.
This is true and to be fair it has been some time since you had our Dulsit tones across your podcast. It's like everyone's voices Dulsit times. In fact I'm pretty sure I've made that exact same comment before in a previous edition of DBL. Probably.
In any case we should point out that there was no DBL episode in September. Shot. Because the horror. No.
Oh yeah. And who's fault was that Chris? Maybe yours. I mean apart from mine.
Yours. So it was Chris Kays and... I blame producer Louise. I also blame producer Louise.
But on a separate note, you were away. When you were away for two whole weeks. Yeah I was. That was very selfish.
I don't know why. What I was thinking. You'll tell everyone where you were. I was on holiday Chris.
Like blood from a stone. Well I'm having fun. Like I'm glad I'm glad to hear it. Chris was away in the good old US of A.
And you were doing a road trip weren't you? A road trip. You were doing a road trip weren't you Chris? He's sounding a two or three years old.
I think I am. Yeah I went from Vancouver to San Francisco. I should point out Chris is not in the US of A. Oh yeah good point.
Some people do get quite upset about that. Sorry I forget. I learned that first hand. My bad.
In any case because you spent the majority of your trip in the United States of America. I actually... Just say North America is simplicity. Well yeah but for the beer.
Right okay. So because you spent predominantly most of your trip in the United States of America, today's beer I actually got from... Well I didn't get it from the US but I got it. And it is a US beer.
It does look very US. It says brewed for US on it. It's got all kinds of American symbols on it. It's even got a cent side.
Ten cents. Is that refund if we send back the cat? I have no idea. But it doesn't make the USA and that's the important thing.
In any case today, ladies and gentlemen, what we're going to be bringing you is... It also says Quebec on the side. What? You know top right there.
I think that's where the Ten cents refund is. But it says... Yeah it says product of Oregon. Like Oregon?
No. Says origin. Oh geez. I'm just gonna stop talking.
In any case today, ladies and gentlemen, we've got a wonderful episode to bring you. We're gonna try and catch up on September with a bumper crop of October DBA illness. And by that we mean a little bit of a shorter episode than usual. Because why not?
Yeah, we're doing a new special. Yeah, a new special. So we talk about data breaches a lot on this show. And it's funny that.
I've noticed. And we were thinking about what happens to your data after you have a data breach. So something like Maria or BA or something like that happens. And then where does it go?
So that's what we're going to be covering today. So like all bastions of journalistic integrity. Every now and then you find a hole that's not being covered by the mainstream media. And I think for us this week that's what we're doing.
Yes. We saw a hole. There is not enough people talking about, stop giggling, talking about what actually happens to data after a breach. We just hear like, day breaches happen, day breaches happen, day breaches happen.
But so what? Well, I mean once it's happened. So what, right? Exactly.
So we want to look into it. And through that we'll bring you all kinds of incredible insights that definitely could not be found through 15 minutes. A very simple Google search. Brilliant.
So I think it's probably about time. Before we get on to that main segment and of course, your absolute favourite segment. The news. The news.
The news. That's a very weak. So, oh. It's probably time we had some beer.
So yes. That's why I, it's Friday and late on Friday. Not only is it Friday, but Chris and I are going out tonight. We're going out, out.
We were allowed out for our designated evening by our prospective partners. Happens about once every six months. Perspective partners. Perspective.
I thought you said prospective. I was like, excuse me. Probably did, probably did. But I'm trying to cover for that.
Okay. Well, it's a good thing nobody listens to this. So if you're a mum. Yeah.
Shout out to my mum once again. In any case, we are going out out. And this is a concept that I had to explain recently to a US-based friend of mine. So in the UK, we have this concept.
It might also exist where you're listening, gentle listener. But the idea is, is that if you are going out, then you're going out to have a good time. So you might go out for dinner, you might go to the cinema, to the theatre, opera, ballet, whatever takes your fancy. You might have a drink or two, and then you go home at a reasonable time.
You settle into bed and you get your snoozes and your beauty sleeve and you wake up refreshed for the next day. Sounds ideal. Doesn't it though? However, out out is an extension on top of out, which basically means that you are going out.
You are going out to dance, to have fun, to party, to have a bit of drinks, and then to effectively rock up at your house at about 5am, probably wearing a traffic cone. It sounds less fun. I disagree. But in any case, Chris and I are going to go...
They're going to disagree about what happens tonight, but we'll see. Chris and I are going to go out out and hopefully we won't be too broken for the next episode of DBAO. We've got a month to recover, so we should be okay. I feel like this is the start of a comedy segment.
Like, we need to instantly cut to a section while we're going. Oh, well, I'm not doing the editing until Monday, so I think we could probably just fit a segment in of us like 1am tonight. Hey guys, DBAO Live out in the streets of Cambridge. That means that I can pretend that 3am phone call to my wife into something productive.
That's a... So another way of looking at it. We're extrapolating here, ladies and gentlemen. Anyway, beer time.
Let's go. The start of our Fridays. Yeah, it's a... Here we go.
No, no, man. It's like 9am. So... Note to everyone.
That's good. I can smell it. Wow. So, yeah, we are drinking Founders All Day IPA, which is a session ale from the United States.
And normally we read the can or the bottle, which normally has some kind of blurb on it saying, you know, why it's a fantastic beer, what it has notes of, all these sorts of things. The only thing I can see on the can is the phrase, crack it, pour it, love it, which is fair. I only see the phrase continent 355 ml 4.7% alcohol. Whoa.
What does that mean? I have no idea. It's all in the marriage. I'll tell you what, let's just normally we rely on the internet to tell us.
So let's actually just get some of these cents for ourselves. Let's just have a little sniff here. Yeah. Wow.
Pretty. Is it? Smells like an IPA. Oh, it smells really good.
That's not really the strongest I was expecting. No, I was expecting stronger, but... That's a good thing for me, I mean. It's very hoppy.
Pretty hoppy. Pretty hoppy. I'm so very hoppy. Like a medium-sized bunny rabbit.
It's pretty hoppy. Yeah, just quite quenching. Quenchability. That must be it.
Quenchability. That's a fake, right? The Kris Quenchability Assessment Calculator, or for short. The Quenchability Scale.
That works. So I would give this a... I could give this an 8.1 on the Kris Quenchability Scale. Yeah, I'd say it's about a green.
You've got to be careful because I'm currently wearing a duvet. So if you make me laugh, then I owe Red Gate 1 duvet. It's all a bit of a butt. Why will laughing cause you to stain?
I don't want to know. In any case, it's very cold in the recording room where we normally get together and drink these beers. So I have mitigated this with a duvet. Cool.
So it's probably time we actually talked about something that wasn't the first 10 minutes of this episode. So Kris, today's topic. So we are going to look into what happens to your data after a breach. Something bad has happened.
Data's been exposed. It's gone away. What does that mean though? What's happening to that data?
Well, I'm assuming that the people who have actually caused the breach, the hackers have then taken that information and written everyone's personally identifiable information down on a small slip of paper, rolled it up, put it into a bottle, top that bottle off with a cork, and then thrown it into the Atlantic Ocean. Sometimes that is the case. Maybe. So first of all, I guess there's different types of data breach.
And what different types of data breach there is kind of leads into what exactly will happen to that data afterwards. Why are you going to go? Is this one particularly strong as has it gone to town already? Maybe it's only 4.7%.
Okay, anyway. So there's a few different types. One of those different types of data breach happens a lot in the medical industry is individuals stealing something for its monetary worth. You know, I just want this computer because I want to sell the computer.
I don't actually care about the data on it. Oh, okay. That's a data breach because the data has been lost, has been breached, but it wasn't actually the focus of the breach. Yeah.
So in that sense, we're talking about a data breach, but the data is kind of proof. Anyway, that's not important for today. So we're going to. Take that one and throw the pig over the fence.
Throw it away. You also then have, I guess, the breaches that come about through, I guess, more targeted attacks. So I was looking at this today. You've got your standard phishing and you've got, so this was kind of interesting.
Have you heard about phishing and spearfishing? I know what a phishing attack is, but. So a phishing attack is generally quite broad. Okay.
Like you'd send it to a whole company and you'd hopefully get someone to click on the link and that gets them out way down loaded and from there you're in. The spearfishing is then much more targeted and a much more prolonged attack. Because you're being very direct and very targeted about it. Like quite like the terminology, like spearfishing, like the starfish, it makes sense.
So you deliberately say target like the finance department or maybe an individual in there, you kind of work and tailor your phishing attack around them. So maybe incorporate personal identifiable information from LinkedIn and Facebook and based around those individuals, you try and masquerade as someone, try and get them to open email, click on them again. That's your rhythm. Okay.
So something like social engineering really plays a part in spearfishing. And again, if you're like a CEO or an executive, whether you're going to be a big target to that. There was another interesting type I found, which is called a watering hole attack. Okay.
Again, I love the terminology because once you hear what it is, it makes complete sense. It's where you target the websites that a group of people who you're looking to target are specifically going to use. And watering holes. Oh, that's clever.
So for example, if you wanted to target that's like DBAs, maybe you'd be attacking like SQL Server Central or another website that DBAs might use. Simple talk. Simple talk. Thank you.
Well, I'm going to tell Kathy Kellenberg is she's not going to be happy. And no one likes to see Kathy angry. This is true. This is true.
But that's really clever. I quite like that idea of a watering hole. Side note, simple talk and SQL Server Central. Very, very safe.
Looked after much by us here at Redgate. But anyway, those types of attacks, again, you're usually looking to, I guess, get access to an individual's record or something. Again, isn't really what we're talking about here. What we're more talking about is when data has been captured in bulk.
So for example, someone has left a test data set exposed somewhere in the cloud or a malicious user has stolen a hard drive or someone has maybe they have used some kind of phishing mechanism to get a back door into a system and slowly pulled out data and of course we year or so and just pulled up a block of data. What happens to it then? So that's a really interesting question. So that sort of data traditionally will find itself on what we call and what you've probably heard to be the dark web.
Where we are in spooky month. Oh, yes. How are we? I was not seeing the light appear in your eyes there.
Well, obviously we did a thing, didn't we? We've got both of the horrors with SQL Server. We had an amazing sound effect. Yeah, let's not do that again.
No. Okay, I won't do it myself. But yes, so we're in spooktobah, spooky, this particular October for several reasons. We're not going to cover, at least of all, because they make me so angry.
Let's just say Halloween. But yes, in this month of dute, we can talk about... This month of dute. Yeah, dute.
As in the skeletons with the trumpet. Anyway, not quite. Anyway, the dark web, yes. So it's important to note that the dark web, a lot of us hear the term dark web, we're not all 100% sure exactly what it means.
So just to break it down, effectively you have the entire internet. And that breaks down into three subgroups. So you have what's called the surface web. And the surface web is everything that is indexable by search engines.
So anything you can typically find on Google, anything you can find with other good search engines are available. But anything you can find with search engines, actually other really good search engines. I mean, depends if you work for Microsoft or not. I guess that's the answer to that question.
So the answer to that question is, being is available. In any case... Being does actually a very good image search, I would say. Oh, really?
Yeah. You've been searching for pictures of beer or beer. Yeah, let's go with that. In any case, so anything that is capturable by, anything that's indexable by, say, Google or other search engines.
And then effectively, you've got what we call the deep web. Also, duck, duck, go. Duck, go is really good. Oh, you've talked about duck, duck, go before and I've never used it.
Yeah, it doesn't capture your personal or it doesn't capture you user data when you're searching. Right, that's it. I'm going on to duck duck duck duck duck. Oh, it was like one of the first ones to come up.
Duck duck duck. It was going quite big. Privacy simplified. Anyway.
Oh, it's got a picture of a duck. Yeah. I like that. Cool.
So, yes. So then you've got the deep web, which is below the surface web. And that is anything that's not indexable by these sites. And typically that contains things.
Robostop.txt is telling the search engine not to go for it. So the deep web contains things like, well, any information that's obviously attainable through some kind of password or anything like that. Basically, like users information, logins, personal pages, company information. Certainly.
Sorry about this. I'll use work playing with a web crawler. And we had a setting on a web crawler, which was ignoreRobostop.txt. I think it was quite funny.
Anyway, carry on. Anyway. That means something to like two members of the audience. Well, as long as they're having a good time.
I don't have a great time. I can see. How strong has this been? Anyway, it's only a can.
Yes. So the deep web contains all of that kind of personal information. It's kind of non-harmful stuff, right? And that's just stuff we can't index because it might contain things like personal information.
The dark web is actually a further subset of the deep web. And it makes up kind of the bulk of the iceberg as it were. And it's effectively where people can go. And you can only access the deep web through things like Tor, the browser, which obviously, you know, it's all about changing your IP address at like multiple servers.
That's why it's called Tor because it references onions and has multiple layers. It's multiple levels of encryption. So that effectively you can do things on the dark web without being identified. And Tor was actually developed by the US government so that when you connect to the dark web, you can't actually tell which information is actually from like information services like secret bureaus, etc.
So if you have intelligence agents out there, it's easier to effectively hide your kind of intelligence information amongst the crowd of people accessing the dark web. And the dark web is used for things like, you know, side note, don't do this. It's bad. But it's used for things like buying narcotics drugs, for weapons, and kind of knives and guns and stuff.
And then it also has sections where you can sell on effectively data that has been ill-gotten. So actually you can sell individual things like credit card information, or someone's entire identity as it were. And one of the figures that I saw was that buying an individual identity, just the one, is about $1,200 or so on the dark web. Wow.
So the truly terrifying thing about this is that the surface web, the indexable stuff, makes up about 4% of the internet. How do you measure that though? I think it was a study that was done at a university or something. But is it like 4% in terms of terabytes or?
Yes, 4% of data effectively. I guess that kind of makes sense though. You just think like Deep Web would take up a lot of stuff. Yeah.
There's a lot of networks that are not. But they reckon that, again, this was something that a statistic I found, so lies, damn lies and statistics take it with a pinch of salt. Yeah, especially statistics about things that are designed to be secret. Secret secret.
Secret secret, keep it secret, keep it safe. In any case, they reckon that the 60 largest dark web sites, combined, are larger than the entirety of the surface web. In terms of size, in terms of data. In terms of volume of data.
All right, yes. But that thing. I don't know. There's lots of different ways of measuring it, right?
Like if it's in terms of traffic, I'd be like, no, that's not true. No, not traffic. But they reckon it's something, oh gosh, what was it? It was like billions of petabytes worth of data in the dark web.
Yeah, it's pretty surprising because I've got a lot of cat photos on my personal page. Yeah, and cat photos make up definitely a good percentage of the surface web, but you are merely scratching the surface. Yeah, it's scratching because cat scratches. You're merely scratching the surface.
So yeah, it gets down onto the dark web, and then that's where people can buy it. And typically, the people who are the ones who are getting that information from various different attack types are actually they're not using it themselves, typically for gains, but more often than not, setting it on the dark web. Yeah, that's what I found. Okay, that makes a lot of sense.
Chris out. Chris out. There's another location that these places can often get, and that's on public pace. So literally just a text file that's exposed to the internet, usually not up along.
So you make your credentials pop up on it. I don't know why people dumb files on that. That does make so much sense to me. Not only is the grey hats, well, I mean, it's not really the grey hats, is it?
It's still black hat crackers actually breaking and taking stuff and publishing it. I guess you've got this interesting dynamic where you've got the people who break in steel stuff and then give it back to the company and say, look at all the stuff that I managed to steal. You really need to secure your systems, but that's why you've been in like penetration testers, right? You actually get people into secure endpoints and network security, etc.
So you can figure out whether or not you are at risk. I guess, yeah, pace is something we're not going into a huge amount. Oh, right. Paces also, then.
Okay. Dark web sales, what you just laid out that kind of raises a pretty natural question, I think, which is why, like, $1,300 or $1,200? No, $1,200. $1,200.
$1,200. What makes that information? Yeah, for me, that's not exactly at all. $1,200, please.
I will pay you to take this information from me. What makes that information worth that amount? What are people buying that for? Your bid.
Yeah. But why do I need to know my birthday and my credit card number? They only need the bid. So they can take your money?
So that's what I was looking into. What is that for? And just depends on the data that's being targeted to it. So the classic personal identifiable information is your name.
They can birth, email address, credit card number, birthday card address, IP address. All of that's what's usually targeted because that's quite valuable because then you can use that to commit fraud. Yes. So you can open bank accounts in someone else's name, not very useful, maybe it's useful.
More useful is to account alone in someone else's name. Right. Obviously, then you get a load of money and you're not the one accountable for it. Right?
Oh. If I took out three grand in your name and then disappeared. Yeah, that's a fair point. And then I guess the money's fairly untraceable because you've had it paid into some dummy bank account, transferred the money out, closed the account, and then that person is accountable for the loans.
It's kind of like the movie identity thief with Melissa McCarthy. I'm going to say, yeah. That sounds about right. You've seen it.
I love Melissa McCarthy. I mean, she was better in Gilmore Girls. I'm going to be honest. 100% up, great actress, but it's all about Gilmore Girls.
Anyway, please continue. It's amazing how many conversations you managed to work Gilmore Girls into. I love Gilmore Girls. If anyone out there is as passionate about database development beer and Gilmore Girls, as I am, please do tweet me at redg.
Under score Chris. No one's going to tweet you Chris. No one has tweeted me since we started this blooming podcast over a year and a half ago. No one has tweeted me.
Please be the first to tweet at redg. G underscore Chris. I listen to DBAO. I'm a fan or at least I listen to DBAO and I like Gilmore Girls.
Please, I'm starved for attention. No, it's a black hole. Okay. So we, what's I saying?
Good question. Identity theft. Yeah. Taking a loan out of someone's name.
Taking a loan out of someone else's name. Or you can also take control of someone else's account. So if they already have money in there, call up the bank and be like, hey, yo, I forgot my password. And they can be like, oh, yeah, your password is 123456.
Jack Rabbit. You said Jack Rabbit before. Why do I know that? No reason.
That's not my password. Don't try. Another good one is to duplicate credit cards. Yeah.
So if you want to just buy something off Amazon, I guess, simple use case. Other good online stores are available. Etsy. I'm not going to your, we're not plugging your Etsy page.
Oh, we had an Etsy page. No one wants to buy candles made out of earwaxes. Disgusting. I would make like beer glasses that look like the representation of a database.
That's not that idea. Thank you. Yeah. I think you've got a terrible business idea, but I like it.
Well, that's what I'm going to ask for. So yeah, you can basically create a virtual duplicated credit card that you can use for online purchases. Yeah. I mean, that seems a lot more traceable, but whatever.
Then you have just a blank mail. Your personal favorite? My personal favorite is, yeah, apparently blackmail. So you can, of course, if you've taken someone's medical information, that might include stuff that they might not want a public to know.
Or if you've managed to get into this computer and general, that's more focused on the individual, I guess, rather than. It is. Yeah. And blackmail traditionally is quite a focused activity, right?
So you might go on the web to try and get someone's identity information for a particular person that you've done. There's a new idea of modern blackmail where you have the, oh, I can't have the name of the mail. My mate in cybersecurity would kick me right now. I can kick you if you like.
You can. I don't know why it doesn't really should be that. It doesn't really work when you've got to do that over you. So what was I saying?
The method of encrypting, encrypting people's data, and then asking for bitcoins, that form of blackmail. What's that called? It's got to be phrased. I don't, I, ransomware.
Ransomware. Yeah, we got there in here. Ransomware. I'm very happy with myself.
I'm going to have a celebratory sip of my drink, because I am indefatigable. That's kind of a different thing. In summary, broad. Summary, broad.
You've broad. Cool. And then, I guess there is another question that arises. What do you do if you have lost your data?
If someone has gained access to it, if someone has sold it on the dark, what can you do? So once again, we're going to have to bring up good old Troy Hunt, who is really, again, we've mentioned Troy before, for have I been poned? And you should definitely, if you haven't already, get yourself on have I been poned to check and see if your data has been breached. And it's really good because it lets you know.
In many cases, it actually lets you know before, before the respective vendors have actually let you know. Yeah, more often than not. So I still have not been notified by Canva of their data breach. I still have not been notified by Canva of their data breach, but have I been poned to let me know?
So I was able to change all of my details and everything. Yeah, I've got three instances of my details being breached. That's not fun. Not including the one where I just put your mobile phone number out onto an episode of DBL.
Yeah, anything to try and get a tweet, people. I just really want a tweet. A tweet would make me so happy. I'll tweet you.
I'll get you a month to tweet you. Yes. And yeah, so I guess you can do the obvious thing. So change your passwords after it's happened, freeze and cancel your credit cards.
Yeah. Check your emails very, very carefully because people will use the information they have to try and manipulate you into a phishing attack. Well, I also learned that you can do, which I think is quite a nice step, is you can put a fraud alert out on your credit score. Oh.
Yeah. And there's actually a couple of services that do that free. So they will monitor your credit score if... People start taking out loans and stuff.
If you start getting hard searches on your credit score, then you actually just... Get notified. Go no find and you can... Shut it down.
Shut it down. Shut it down and then go out. Exactly that. And then in terms of how to avoid, I guess we've kind of covered that before, but password managers, two-factor authentication.
Oh, two-factor authentication everywhere, people please. Yeah. Or three. Yeah.
And I'd know people say that, you know, two FA can be not great if you're getting text messages sent to your phone, but that's not the only option. No. This is true. So two-factor authenticate, everything.
And that pretty much is that for our expose. The funny thing is, you were like, oh, it's not really going to take up that much time, but we're already at like 33 minutes or something. Yeah, but we've got to cut that whole bit where you went on a ramp against those elephants and you gandered them in the potatoes. Yeah, but that will come out quite easily.
Yeah. Unlike those potatoes. Those damn potatoes. Shut up, no you don't.
No you don't. In any case, there was actually some news related. Oh! It brings us quite nicely onto the news.
Yeah, I know. Normally it's like, here is the bit that we are doing, and now it is time for the news. But now... This will be the news.
It has... Well... Well... Well, that rounds off that special ex-lose from Chris and Chris.
Now under the second item of the news. By also Chris and Chris. The news! The news are...
Ah, got it broken. So what is in the news this week, Chris? So it wasn't so much in the news, but it also kind of was. And that is that Yahoo, obviously they have their data breach.
Yahoo! Yahoo! That's not true. Well, anyway, that's bad thing.
Anyway... Yeah, it's not really true. So bad, Chris. But you can cut that right.
Cut everything you want. Okay. I'm a headdresser. So effectively, Yahoo.
If you are a US or Israel citizen... Yeah. US or Israel? Yeah, apparently.
US or Israel. And you had a Yahoo account between 2012 and 2016. I'd take neither of those boxes. Whoop.
Then Yahoo have made a 117.5 million dollar fund available effectively. Meaning that you could claim... Oh, it's a P2A class action lawsuit. Yeah.
How much? I mean, it's stealing my thundercrows. Sorry, I'm sorry, I'm sorry. Which means that individuals who do fit that criteria could claim up to $358, US dollars per person.
Not bad. There seems to be a little bit of a disconnect there. But $358 and the $1,200 that you could have sold yours. You just sold your own personal details on the dock.
Hey, does everyone want to be Chris K? Because here you go and here you go. Everybody gets to be Chris K. Well, no, everyone.
I need to pay $1200. I mean, you could be rich, but then everyone's going to make your money. In any case, if you do fit that criteria, they definitely go online and check it out because it is legitimate. It's definitely a thing, Yahoo have made a fund available.
So you can claim that money. We talked about the interesting ramification from Databrickshes and how Class Action Dorsuits is something that I don't make people really consider to begin with. Now we've got this new wavering coming out. Are the cost of Databrickshes seems to be going up enough.
Actually, Yahoo, I was reading something about this. Really interesting. Who's the parent company? I can't remember.
It's one of the big communications giants in the States. But they had to basically knock off a billion dollars from the value of Yahoo all because of the Databricks. I know they knocked off a billion dollars off their entire company. Parent company value.
Parent company value itself. I think it was like $400 million off the value of Yahoo. I feel like you get quieter as this podcast goes on. And as I drink the beer, I get louder.
So it's kind of like easy listening with Chris. It's like, hello ladies and gentlemen, it's time for public radio with Chris. I'll be playing you some lovely tunes. Coming out to you, it's 2am.
How you doing out there? Now it's time for some Marvin Gaye. How's your drive time commute? I really hope someone is listening to this in their drive home commute.
20 times. Tell us that you're listening. But effectively, it's quite funny. You really need to speak up.
No, no. Okay. That's me. Perfectly fine.
So the parent company value is such a big impact, let alone the $117.5 million that they've made available to people to claim back. On top of fines. On top of fines. On top of loss of public face.
Yes. There's a lot of stuff, basically. Yeah, pretty much. And the other thing, of course, is that it's not going to slow down.
I've said this before, but it really is just setting the bar for legislation. And we're seeing that this sort of legislation does really have tea. Yep. And I date screeches aren't going anywhere.
People are going to get bored of hearing about date reaches far before they stop happening. Because they'll never stop happening. And people will get bored about hearing about them because they'll keep having. Yeah.
This is why listeners of DBL just dropping flies. It's like, oh, another data breach. Originally we had one Chris's mum. Yes.
And now we have two. Me and my mum. I think your mum stopped. That wouldn't surprise me.
She's probably like, oh honey, I love you. But I can't listen to this anymore. In any case, in any case, no, we'll get to that. Okay.
To that. Just as a side note, sorry, just as a side note, it is worth mentioning that a good way of protecting data in that sense is to, my favourite kind of four-step guide is knowing where your data is, knowing what your data is, knowing how you're going to protect it, and then knowing how you can prove that you're protecting it. Because that's what auditors care about. Sounds good to me.
Anyway, maybe for another time. Maybe we'll talk about it next time. Yeah, that sounds good. There was, yes, there is another piece of news, actually.
Bigger news. Is it bigger news than a billion dollars being wiped off of a multinational corporation? In my world it is. Fantastic.
I'm sure producer Louise will be happy to hear that. Yes. So coming up, we are running. That's we as Redgate, not just me and Chris.
The Royal Way, just a quick. Just a quick little nightmare. We are running another sequel in the city summit, coming up in October, actually, specifically, 25th October, day after my 30th birthday, and the 4th of November in Seattle. Yes, so Redgate...
...Rugget... ...Siatal, no, no. No, I can't. So, yes, so Redgate runs these, what we call, sequel in the city summit.
And sequel in the city summit is Redgate's big, kind of, primary event for bringing together people in the community, effectively a series of exclusive summits for, well, I say exclusive, but if you want to go, you can. And we'll tell you about that in a second. But effectively... So we're pretty inclusive.
I would say we're pretty inclusive. I don't know why the word exclusive is used on the website, but in any case, it's an event that includes thought-provoking sessions, presented by world class, prevented by, presented by world class speakers, engaging panel discussions. Do you speak of those speakers, though? Like, world class speakers?
Like, do you know who's going to be speaking? In London this year? In London. I don't know.
I don't know. I don't know. I don't know. I don't know.
But the 20th birthday. Grandfritche. Maybe. But also me.
Oh, Chris Kurzwell is going to be speaking. Ladies and gentlemen, this is incredible. Yeah. I'm going to be talking about stuff.
I'm going to be talking about the entire database DevOps big picture. OK. So actually where to start and where it ends and the whole thing as one kind of general circular development process, as opposed to just being like, how does source control work for databases? Yeah.
It's like everything. I'm going to talk about three big things of DevOps and how they're applied to DevOps. I mean, that's pretty clever. Yeah.
I think I have a good time. Yeah. So obviously we've got a whole load of world class speakers. And also Chris will be there.
Hey. Engaging panel discussions with industry peers. And there'll be tons of time for networking. And I think there's a free lunch as well.
So not all bad. Every bit. Oh, and yeah. Wait, what?
Yeah. Is every bit. Yeah. No, no, no, no.