1 00:00:00,000 --> 00:00:07,140 Hello, Roots. Our next speaker is Alex Stamos, the chief security officer at Facebook. 2 00:00:13,600 --> 00:00:20,980 Hey, everybody. I'm Alex. I work at Facebook. And I get to work with a bunch of people whose 3 00:00:20,980 --> 00:00:25,480 job it is to think about the safety and security issues. No, it's okay. I'll just leave it here. 4 00:00:25,480 --> 00:00:31,740 It's fine, John. Safety and security issues for over 2 billion people. How many people 5 00:00:31,740 --> 00:00:37,400 do you guys think in the world have Internet access? Who thinks? How many people are there 6 00:00:37,400 --> 00:00:44,980 in the world? We'll do a little. Should I do Socratic method? Yeah. 7.6 billion? I think 7 00:00:44,980 --> 00:00:49,440 that's about right. That's more significant digits than I feel comfortable saying. So 8 00:00:49,440 --> 00:00:54,600 about a little less than 4 billion of those people have some amount of Internet access. 9 00:00:54,820 --> 00:00:55,320 Right? Have... 10 00:00:55,480 --> 00:01:03,580 So we define that as have regular access to 2G internet, which is slower internet than any kid in here has ever used in their life. 11 00:01:03,700 --> 00:01:05,000 But that's actually really significant. 12 00:01:05,380 --> 00:01:09,240 And so about 2 billion of those people use one of our products. 13 00:01:09,320 --> 00:01:12,320 So we have Facebook, which none of you kids have heard of. 14 00:01:12,380 --> 00:01:14,920 You've heard of Instagram, which is us as well. 15 00:01:15,080 --> 00:01:18,120 And WhatsApp, which has about 1.3 billion people. 16 00:01:18,760 --> 00:01:24,280 WhatsApp actually has more messages on WhatsApp than all the text messages in the world put together. 17 00:01:24,280 --> 00:01:26,280 Which makes it pretty amazing. 18 00:01:26,400 --> 00:01:36,720 And it's also pretty amazing in that it's end-to-end encrypted, which means that all of the things that you send on WhatsApp are secret except for the two people or the multiple people part of the conversation. 19 00:01:37,140 --> 00:01:38,680 And that was a really tough thing. 20 00:01:38,780 --> 00:01:43,560 And it's also a really interesting ethical issue, as you'll hear later probably from Leonard. 21 00:01:43,780 --> 00:01:49,600 So what I just wanted to do is talk a little bit about what we do in security and safety and why it's really important. 22 00:01:49,800 --> 00:01:51,060 And then I'm going to have plenty of time for questions. 23 00:01:51,140 --> 00:01:54,260 And we've got prizes for questions because I want to encourage candidates. 24 00:01:54,280 --> 00:01:58,740 So I'm going to start off with a little bit of curiosity and questioning of authority figures, which is something I've done. 25 00:01:58,960 --> 00:02:01,280 So this is my 20th year at DEF CON. 26 00:02:01,980 --> 00:02:03,960 I came when I was 18 years old. 27 00:02:04,180 --> 00:02:05,700 So you can do the math on that. 28 00:02:05,880 --> 00:02:08,000 I did not have a beard when I was 18. 29 00:02:08,820 --> 00:02:17,080 But what I did, just like you, I was really excited to come to DEF CON and to meet a lot of people who were, just like me, really curious in how the world worked. 30 00:02:17,440 --> 00:02:24,040 And at the time, we didn't do stuff like this where there's all the awesome opportunity to hack stuff. 31 00:02:24,280 --> 00:02:26,600 To go do competitive hacking. 32 00:02:26,820 --> 00:02:27,980 To go disassemble things. 33 00:02:28,400 --> 00:02:30,320 For us, we kind of had to find a lot of that. 34 00:02:30,400 --> 00:02:35,540 And a lot of my friends of that era did those things in a way that wasn't completely legal. 35 00:02:36,960 --> 00:02:48,460 And DEF CON has really changed a lot and given us all these opportunities to explore and use our creative skills in a way that is not just legal and ethical, but you're making the world a little bit of a better place. 36 00:02:48,840 --> 00:02:51,320 And so the things we do at our security team. 37 00:02:51,400 --> 00:02:53,500 So the first is we work to protect our company. 38 00:02:53,500 --> 00:02:55,380 So people want to break into us all the time. 39 00:02:55,460 --> 00:02:56,620 Why do you think they want to break into us? 40 00:02:56,700 --> 00:03:00,800 Why would you want to break into a company that has 2 billion people communicating with each other? 41 00:03:00,980 --> 00:03:01,220 Yeah. 42 00:03:08,760 --> 00:03:09,360 That's fantastic. 43 00:03:09,560 --> 00:03:09,940 What's your name? 44 00:03:10,540 --> 00:03:11,240 Maggie Young. 45 00:03:11,480 --> 00:03:13,300 Thank you very much, Maggie Young. 46 00:03:13,540 --> 00:03:14,920 That's a totally correct answer. 47 00:03:15,140 --> 00:03:18,700 You can break into the company and get information about people. 48 00:03:18,880 --> 00:03:19,720 Their private information. 49 00:03:19,720 --> 00:03:22,500 Which can be super valuable to lots of bad people. 50 00:03:22,620 --> 00:03:22,780 Right? 51 00:03:22,840 --> 00:03:25,240 To criminals who want to steal money from people. 52 00:03:26,680 --> 00:03:31,720 From governments that don't like the fact that people that live in their country are able to communicate freely. 53 00:03:32,780 --> 00:03:35,440 And lots of people who want to cause individual harm. 54 00:03:35,680 --> 00:03:37,040 And so we have to protect the company. 55 00:03:37,320 --> 00:03:42,420 And that's a big challenge because we deal with some of the best hackers in the world who want to break in. 56 00:03:42,960 --> 00:03:45,800 We have another challenge which is we have to build really secure products. 57 00:03:45,940 --> 00:03:46,060 Right? 58 00:03:46,060 --> 00:03:47,520 So like I said, we have 2 billion people on Facebook. 59 00:03:47,700 --> 00:03:48,820 700 million on Instagram. 60 00:03:49,120 --> 00:03:50,860 1.3 billion on WhatsApp. 61 00:03:51,140 --> 00:03:52,800 We also make the Oculus headsets. 62 00:03:52,880 --> 00:03:54,880 Has anybody here played with an Oculus before? 63 00:03:55,120 --> 00:03:55,940 That's a lot of fun. 64 00:03:56,060 --> 00:03:56,300 Right? 65 00:03:56,780 --> 00:03:58,360 Technically you're not supposed to do it until you're 13. 66 00:03:58,600 --> 00:04:00,220 There's this interesting safety legal issue. 67 00:04:00,700 --> 00:04:02,100 So I'm going to ignore those hands. 68 00:04:02,260 --> 00:04:02,600 But yes. 69 00:04:02,840 --> 00:04:03,680 It's a lot of fun. 70 00:04:03,940 --> 00:04:05,860 And we build those. 71 00:04:06,100 --> 00:04:07,140 We don't actually build them ourselves. 72 00:04:07,300 --> 00:04:08,120 We have a contract manufacturer. 73 00:04:16,060 --> 00:04:16,500 We make our products secure. 74 00:04:16,700 --> 00:04:22,640 And we do that both by having people on the inside who work to think about how can this thing break. 75 00:04:23,000 --> 00:04:26,180 But we also ask people on the outside to break things for us. 76 00:04:26,420 --> 00:04:28,600 Anybody know what that's called when we pay people to find bugs? 77 00:04:29,440 --> 00:04:29,880 Yeah. 78 00:04:31,400 --> 00:04:33,340 White hat program or a bug bounty program. 79 00:04:33,600 --> 00:04:33,960 That's right. 80 00:04:34,140 --> 00:04:42,200 And so we've given out about $5 million over the last 4 years to people who have found bugs. 81 00:04:43,100 --> 00:04:46,040 And for some of these people it's like a fun thing to do. 82 00:04:46,060 --> 00:04:46,680 It's like a side project. 83 00:04:46,880 --> 00:04:49,200 For some of the people that do this, this is a full-time job. 84 00:04:49,380 --> 00:04:51,980 And they support their entire family doing this. 85 00:04:52,060 --> 00:04:59,760 We have a young man from India from a small village who's made over $100,000 just from us finding bugs. 86 00:05:00,340 --> 00:05:02,740 And that's allowed him to support his entire family. 87 00:05:02,860 --> 00:05:04,520 And so you meet all these really interesting people. 88 00:05:04,780 --> 00:05:07,560 And then the third thing we do is we focus on the safety of our community. 89 00:05:07,900 --> 00:05:12,140 Which when you have 2 billion people, 99.9% of people are good. 90 00:05:12,520 --> 00:05:16,040 But the 0.1% of people who aren't good can do a lot of good things. 91 00:05:16,040 --> 00:05:16,660 A lot of bad things online. 92 00:05:17,340 --> 00:05:21,840 And so in that area we try to make sure that people are being nice to each other. 93 00:05:21,940 --> 00:05:23,680 That they're behaving per our rules. 94 00:05:23,800 --> 00:05:24,880 That they're not abusing each other. 95 00:05:25,440 --> 00:05:31,140 And then we also, one of the things we particularly focus on is the interaction between adults and younger people. 96 00:05:31,300 --> 00:05:34,240 Because that can be a really dangerous thing sometimes. 97 00:05:34,560 --> 00:05:37,060 And so we do a lot of works in the safety issue as well. 98 00:05:37,240 --> 00:05:38,380 And it's a lot of fun. 99 00:05:38,680 --> 00:05:41,660 And one of the things we've been working on recently is around protecting elections. 100 00:05:42,400 --> 00:05:43,980 Anybody know what happened last November? 101 00:05:44,400 --> 00:05:44,800 No. 102 00:05:53,780 --> 00:05:54,600 Oh, where are you from? 103 00:05:55,340 --> 00:05:55,660 Canada. 104 00:05:55,700 --> 00:05:55,980 Canada? 105 00:05:56,420 --> 00:05:56,740 Yes. 106 00:05:56,840 --> 00:05:58,080 Where you have a functioning democracy. 107 00:05:58,800 --> 00:05:59,600 Congratulations on that. 108 00:06:01,620 --> 00:06:02,700 I've got to meet your prime minister. 109 00:06:02,860 --> 00:06:03,700 He's a very nice guy. 110 00:06:04,240 --> 00:06:07,280 You have to not look him straight in the eyes because you'll fall into them. 111 00:06:07,340 --> 00:06:08,560 Into those deep blue pools. 112 00:06:08,840 --> 00:06:10,460 But, yeah. 113 00:06:11,400 --> 00:06:12,140 Yeah, but you're right. 114 00:06:12,220 --> 00:06:14,660 So there was alleged hacking of the U.S. election. 115 00:06:14,900 --> 00:06:15,820 You said the name of the country. 116 00:06:15,880 --> 00:06:16,020 Which is the United States. 117 00:06:16,040 --> 00:06:16,780 Which I'm not allowed to do. 118 00:06:17,480 --> 00:06:18,460 According to our lawyers. 119 00:06:18,640 --> 00:06:24,240 But there was a lot of things going on to try to influence our election in the United States. 120 00:06:24,540 --> 00:06:26,800 And that's actually happened in other places, too. 121 00:06:27,240 --> 00:06:28,420 We've seen that in France. 122 00:06:28,580 --> 00:06:29,720 There's activity in Germany. 123 00:06:30,060 --> 00:06:33,180 And there's actually activity all around the world trying to mess with people's elections. 124 00:06:33,340 --> 00:06:36,160 So that's the kind of thing that is a new problem for us. 125 00:06:36,680 --> 00:06:42,340 And one of the great parts about our job and my job is I get to deal, that's a great look. 126 00:06:42,520 --> 00:06:42,740 Yeah. 127 00:06:44,300 --> 00:06:49,340 One of the great parts about my job is I get to work on these security problems that nobody's ever seen before. 128 00:06:50,160 --> 00:06:58,600 Countries trying to manipulate millions or hundreds of millions of people to change elections is the kind of security problem that nobody's had to deal with before. 129 00:06:59,160 --> 00:07:00,860 And so there's no book you can read. 130 00:07:00,920 --> 00:07:02,640 And there's no class you can go to. 131 00:07:02,800 --> 00:07:04,980 We just have to kind of figure it out as we go along. 132 00:07:05,160 --> 00:07:05,820 And that's what we're doing. 133 00:07:05,940 --> 00:07:08,920 We had to spin up an entire team whose job it is to study that. 134 00:07:09,040 --> 00:07:12,060 And that team had some kind of traditional nerds. 135 00:07:12,060 --> 00:07:12,600 People like me. 136 00:07:12,740 --> 00:07:15,340 People who went to a computer science or electrical engineering degrees. 137 00:07:15,540 --> 00:07:19,600 But we also have a lot of interesting people who do different things. 138 00:07:19,700 --> 00:07:24,920 So the woman who runs that team, her name is Jen, she has an undergraduate degree in like foreign relations. 139 00:07:25,480 --> 00:07:31,480 And she went a master's degree from a famous school that teaches about foreign relations and international service. 140 00:07:31,820 --> 00:07:34,240 And then she learned the computer stuff later. 141 00:07:34,700 --> 00:07:38,520 We have people who have language skills and all the different languages we have to deal with. 142 00:07:38,760 --> 00:07:40,200 We have people with sociology degrees. 143 00:07:40,460 --> 00:07:42,720 And so one of the neat things about security is that you have to figure out how to use that. 144 00:07:42,740 --> 00:07:46,860 It's not just about hacking computers in a super technical way. 145 00:07:47,360 --> 00:07:53,980 Security is becoming the study of all of the different things that you can do with technology that can cause harm. 146 00:07:54,220 --> 00:07:55,700 And I think that's a super important thing. 147 00:07:55,800 --> 00:07:59,740 And I think that's also really exciting for young people because there's all kinds of new things you're going to have to deal with. 148 00:07:59,900 --> 00:08:07,640 And honestly, I can't predict in 15, 20 years when you guys are in the workforce what the kind of problems are going to be that you're going to deal with. 149 00:08:07,980 --> 00:08:11,480 So anyway, anybody have any questions about what we do or what's going on? 150 00:08:11,600 --> 00:08:11,900 Yes. 151 00:08:14,020 --> 00:08:15,540 What's my favorite part of what I do? 152 00:08:15,620 --> 00:08:15,760 What's my favorite part of what I do? 153 00:08:15,760 --> 00:08:16,260 That's a great question. 154 00:08:16,500 --> 00:08:17,740 So I like meeting new people. 155 00:08:18,000 --> 00:08:19,100 I get to do that a lot. 156 00:08:20,040 --> 00:08:21,480 I get to travel around the world. 157 00:08:21,880 --> 00:08:22,620 There's some swag. 158 00:08:24,100 --> 00:08:25,600 You hacked our swag formula. 159 00:08:25,740 --> 00:08:26,240 Good work, buddy. 160 00:08:26,340 --> 00:08:28,100 Social engineering for sunglasses. 161 00:08:29,580 --> 00:08:35,160 I like traveling around the world and meeting new people and representing the company and talking about the things we do security. 162 00:08:35,420 --> 00:08:42,440 So I got to, in the last couple of months, I've been in, I got to go to Korea and Japan and meet people there. 163 00:08:42,740 --> 00:08:45,560 I got to talk to them about what they're doing in security and meet their heads of cybersecurity. 164 00:08:46,020 --> 00:08:47,820 I got to go to Germany and France. 165 00:08:48,160 --> 00:08:53,120 So I got to go to the LSA palace, which is their White House in France, and talk to them about that, about security. 166 00:08:53,460 --> 00:09:00,540 And then go to the Bundestag, which is the place where the German parliament is, and talk to them about what we're doing to secure their election. 167 00:09:00,720 --> 00:09:01,400 And that's really neat. 168 00:09:01,480 --> 00:09:09,780 It's neat to be able to, you know, we're entering this weird world where companies are doing things that are traditionally the realm of countries. 169 00:09:10,000 --> 00:09:10,400 Right? 170 00:09:16,280 --> 00:09:30,840 And we're in this new world where keeping people safe technically is the responsibility of private companies and people who work at private companies much more so than the actual countries where they live. 171 00:09:31,020 --> 00:09:39,660 And so that's, like, been a really interesting thing to be able to work with these people who are representing, you know, these people who are elected to represent millions or hundreds of millions of people. 172 00:09:39,960 --> 00:09:42,720 And we have a responsibility to listen to them and to work with them. 173 00:09:42,740 --> 00:09:43,520 To keep their people safe. 174 00:09:43,820 --> 00:09:44,660 So I like doing that. 175 00:09:44,780 --> 00:09:45,800 I like hiring people. 176 00:09:45,980 --> 00:09:49,200 I like having a team and seeing young people come in. 177 00:09:49,320 --> 00:09:51,080 Like, we just had a class of interns come through. 178 00:09:51,260 --> 00:09:52,960 And I got to go get dinner with the interns. 179 00:09:53,820 --> 00:09:57,100 And it's just really exciting to go work with people who are new to the field. 180 00:09:58,400 --> 00:09:59,420 Any other questions? 181 00:09:59,580 --> 00:10:00,700 Anybody want to ask anything? 182 00:10:01,160 --> 00:10:01,560 Yeah? 183 00:10:01,900 --> 00:10:05,780 How much data does Facebook store? 184 00:10:06,180 --> 00:10:07,120 That's an excellent question. 185 00:10:07,240 --> 00:10:08,520 So we don't release the exact number. 186 00:10:08,860 --> 00:10:11,720 But what do you think the... 187 00:10:12,740 --> 00:10:16,280 So what's a big number of data that you would think? 188 00:10:16,560 --> 00:10:17,540 How's it measured? 189 00:10:18,660 --> 00:10:20,220 In what bytes? 190 00:10:21,500 --> 00:10:22,100 Petabytes? 191 00:10:22,420 --> 00:10:23,120 That's great. 192 00:10:23,260 --> 00:10:24,240 So what's a thousand petabytes? 193 00:10:28,580 --> 00:10:29,600 Starts with an E. 194 00:10:33,120 --> 00:10:34,100 How's your Greek? 195 00:10:34,340 --> 00:10:36,120 What's six in Greek? 196 00:10:36,260 --> 00:10:36,580 Exabytes. 197 00:10:37,320 --> 00:10:40,300 So we measure our storage capacity in exabytes. 198 00:10:41,480 --> 00:10:42,720 So for the security industry, 199 00:10:42,740 --> 00:10:44,240 our storage capacity is in petabytes. 200 00:10:44,880 --> 00:10:46,140 But for the overall 201 00:10:46,600 --> 00:10:48,300 of holding everybody's vacation videos 202 00:10:48,300 --> 00:10:49,420 for the last ten years, 203 00:10:49,600 --> 00:10:52,360 turns out to be measured in exabytes of data. 204 00:10:52,880 --> 00:10:54,640 In about eight data centers globally. 205 00:10:54,900 --> 00:10:56,000 So think of 206 00:10:56,580 --> 00:10:58,580 hundreds and hundreds of thousands of spinning disks. 207 00:10:58,880 --> 00:11:00,100 Each one is holding 208 00:11:00,740 --> 00:11:02,800 something between two to ten terabytes. 209 00:11:03,400 --> 00:11:04,420 And that's what 210 00:11:04,420 --> 00:11:05,520 our storage looks like. 211 00:11:05,700 --> 00:11:07,140 We also have petabytes and petabytes of RAM. 212 00:11:07,420 --> 00:11:09,780 So a lot of, like if you open up Facebook 213 00:11:09,780 --> 00:11:12,300 and you just scroll through it, everything you're seeing 214 00:11:12,740 --> 00:11:14,720 that is there is actually not on a hard drive, 215 00:11:14,860 --> 00:11:15,340 it's in RAM. 216 00:11:15,600 --> 00:11:17,460 Because there's no way we could pull it off of a hard drive 217 00:11:17,460 --> 00:11:20,240 fast enough for people to have a good experience. 218 00:11:20,540 --> 00:11:22,880 So basically everything everybody's done 219 00:11:22,880 --> 00:11:24,540 for the last couple of days in Facebook, 220 00:11:24,700 --> 00:11:25,700 all the photos, all that stuff, 221 00:11:25,920 --> 00:11:27,780 is stored in hundreds of petabytes of RAM 222 00:11:27,780 --> 00:11:28,880 around the world. 223 00:11:29,060 --> 00:11:30,580 And then we have this big complicated system 224 00:11:30,580 --> 00:11:32,940 that when you say, I want to look at a picture on Instagram, 225 00:11:33,140 --> 00:11:34,000 I want to look at a picture on Facebook, 226 00:11:34,260 --> 00:11:36,380 it figures out where's the closest machine, 227 00:11:36,760 --> 00:11:38,600 goes, pulls it out of RAM and then gets it to you. 228 00:11:38,840 --> 00:11:40,340 And so we have about eight data centers globally, 229 00:11:42,980 --> 00:11:45,120 servers that are close that will route then 230 00:11:45,120 --> 00:11:46,560 over a private fiber optic network 231 00:11:46,560 --> 00:11:48,900 to get to where we're holding your data. 232 00:11:50,120 --> 00:11:51,160 Yeah, it's pretty cool. 233 00:11:51,500 --> 00:11:52,760 Data engineering is amazing. 234 00:12:09,180 --> 00:12:10,720 Yeah, that's a fantastic question. 235 00:12:10,920 --> 00:12:12,720 So the question was, what are the legal issues 236 00:12:12,740 --> 00:12:14,280 with holding so much data? 237 00:12:15,040 --> 00:12:16,780 And they are extremely complicated. 238 00:12:17,120 --> 00:12:19,160 So what percentage of our users 239 00:12:19,160 --> 00:12:20,560 do you think are outside the United States? 240 00:12:23,340 --> 00:12:23,980 Yes, miss? 241 00:12:24,920 --> 00:12:25,380 75? 242 00:12:25,720 --> 00:12:27,920 That's a good guess, but it's higher than that. 243 00:12:27,980 --> 00:12:28,680 The percentage is higher. 244 00:12:32,460 --> 00:12:34,300 What's a number higher than 75 245 00:12:34,300 --> 00:12:35,840 and lower than 100%? 246 00:12:37,220 --> 00:12:38,880 87.5, that's extremely close. 247 00:12:38,960 --> 00:12:39,740 It's 88%. 248 00:12:40,340 --> 00:12:41,580 That guy gets two sunglasses. 249 00:12:42,740 --> 00:12:42,980 That's really good. 250 00:12:43,420 --> 00:12:46,040 Yeah, so we are a global company, 251 00:12:46,160 --> 00:12:47,720 and so one of the challenges 252 00:12:47,720 --> 00:12:50,020 all of tech companies are facing right now 253 00:12:50,020 --> 00:12:53,840 is that the laws for how we operate 254 00:12:53,840 --> 00:12:55,360 are very, very different everywhere. 255 00:12:55,660 --> 00:12:57,500 And countries have still not figured out 256 00:12:57,500 --> 00:12:59,100 how they want to regulate 257 00:12:59,100 --> 00:13:00,460 what data we collect, 258 00:13:00,680 --> 00:13:02,220 how we hold it, what we do with it, 259 00:13:02,260 --> 00:13:03,380 what our responsibility is. 260 00:13:04,040 --> 00:13:06,760 And so it's a really complicated time 261 00:13:06,760 --> 00:13:08,220 to try to deal with that. 262 00:13:08,720 --> 00:13:11,280 What we do is we try to follow the laws 263 00:13:11,280 --> 00:13:12,400 and the places where we have 264 00:13:13,480 --> 00:13:14,440 major operations. 265 00:13:14,800 --> 00:13:16,460 And so for us, that's the United States, 266 00:13:16,660 --> 00:13:18,660 and then Ireland is where we have 267 00:13:18,660 --> 00:13:20,660 our biggest, is our headquarters 268 00:13:20,660 --> 00:13:21,960 for outside the United States. 269 00:13:22,720 --> 00:13:24,740 And do countries give us mean glances? 270 00:13:24,760 --> 00:13:26,440 Yes. In Europe, they're giving us 271 00:13:26,440 --> 00:13:27,860 a very mean glance called the 272 00:13:27,860 --> 00:13:29,340 General Data Protection Regulation, 273 00:13:29,960 --> 00:13:31,760 which is a whole new set of rules 274 00:13:31,760 --> 00:13:32,760 about what we're supposed to do 275 00:13:32,760 --> 00:13:34,160 with people's data in Europe 276 00:13:34,160 --> 00:13:36,440 that nobody knows what they actually mean 277 00:13:36,440 --> 00:13:37,560 because they're incredibly broad. 278 00:13:37,780 --> 00:13:40,980 And so there's this constant kind of discussion 279 00:13:42,740 --> 00:13:43,520 about who has the appropriate rules. 280 00:13:43,740 --> 00:13:44,760 They pass these rules. 281 00:13:44,880 --> 00:13:45,960 We ask them what they actually mean. 282 00:13:46,380 --> 00:13:47,840 Sometimes these are friendly discussions. 283 00:13:48,080 --> 00:13:49,120 Sometimes they're less friendly, 284 00:13:49,260 --> 00:13:50,420 and they end up in court. 285 00:13:50,640 --> 00:13:52,240 But this is kind of a constant thing 286 00:13:52,240 --> 00:13:53,080 that we're trying to figure out 287 00:13:53,080 --> 00:13:54,760 because there's not one set of rules 288 00:13:54,760 --> 00:13:56,760 we can live by that will make everybody happy. 289 00:13:56,900 --> 00:13:58,780 So we try to do the best we can 290 00:13:59,380 --> 00:14:00,900 to live by the privacy rules 291 00:14:00,900 --> 00:14:02,040 of the most restrictive countries, 292 00:14:02,160 --> 00:14:03,400 and then hopefully that works everywhere. 293 00:14:04,920 --> 00:14:06,080 Okay, I've got to get going. 294 00:14:06,420 --> 00:14:07,600 Thank you so much for your time. 295 00:14:07,640 --> 00:14:08,400 I'm going to be around if anybody 296 00:14:08,400 --> 00:14:09,320 wants to chat about anything. 297 00:14:09,600 --> 00:14:11,380 And we have our Capture the Flag competition 298 00:14:11,380 --> 00:14:12,600 starting at 1 o'clock today. 299 00:14:13,260 --> 00:14:14,460 We've got lots of great prizes, 300 00:14:14,680 --> 00:14:17,060 drones, echoes, all kinds of stuff. 301 00:14:17,140 --> 00:14:18,440 So please give it a shot 302 00:14:18,440 --> 00:14:19,960 and compete in the Capture the Flag. 303 00:14:20,220 --> 00:14:20,720 Thank you.