LIVE From CrowdStrike's Fal.Con 2026 | George Kurtz, Michael Sentonas, Daniel Bernard & Justin Boitano

23:36Because cyber, you've got to live with it. You've got to use it every day. Okay, so in deployment, let's talk about the balance between tackers and defenders. In terms of AI capabilities, I'm pretty confident that you, OpenAI Anthropic, the big labs, have the advantage on raw power intelligence capabilities in terms of defense and probably offense too, but you don't use it for that. But does that map to your reality that the open source frontier is behind? The only difference is you guys need to be successful every single time, and an attacker only needs to be successful one out of it. Yeah, yeah, yeah.

24:10100 ,000 times, right? Yeah. I mean, that's why it works. Okay. every organization can't get it wrong. And equally, they've got additional pressure. They've got to get it right 100 % of the time, but they also have to not stop business. It's easy to get it right 100 % of the time if you turn off everything. So it's not going to fly with the CEO of the company if every day the security technology is slowing people from browsing. You can't use the AI that you want. So there's an added level of complexity. The defender has things like change control. The defender has things like regulatory guidelines and process that they need to follow.

24:50Attacker doesn't care about any of that. You go to Europe where everyone in Europe is talking about AI laws and privacy and regulation. I said at a conference, this is fantastic. You guys are leading the world in all of this regulation and everyone was proud. The adversary does not care. The adversary loves this. Yeah, they're already breaking the law. So why would they follow other regulations? They love it. They're in there, and that's kind of some of the challenges that people face with. And then you have the cost pressures. You can't just pour everything into tokens. You can't just pour everything into IT budget.

25:22So that's why we spend a lot of time making sure that you get the best that you can. And a lot of the time we come in and say, okay, here's a product. We're going to try to take two out. It's not one in, one out. It's one in, two out, three out. Sure, sure, sure. So talk about the pace of AI diffusion, AI adoption in cyber, because it feels like even though there's immense go-to-market operations, AI adoption among the bad guys has to be incredibly quick because it's often free. It's highly motivated. Download. Just download the thing. And so I feel like that's maybe more of the challenge than raw intelligence.

26:03Is that a reasonable frame of mind to think about? The real escape of the problem is the slope of adoption. The good guys need to adopt more security AI faster than the attackers. Look, we've talked about this for 20 plus years. If you went to a security conference 20 years ago, everybody talked about this time in the future is going to come where attackers are finding vulnerabilities and they're weaponizing them at a speed that you're just not going to be able to deal with. Sure, sure. We're here now. Yeah. and if you think about the technology I mean the adversaries get access to everything and the best thing that's happened to them is the advancement in the open weight models they can go and get a Chinese model they can go and get a model effectively from anywhere that they run inside their sort of framework they can build it, they can train it, they can tune it and because they're running it in their environment they can customize it in a way that you don't know what they're doing and then the first time they use it is the first time you have to deal with it.

27:01And it's becoming cheap for them. When they run it internally, they don't have the cost of the tokens and everything else. They need the hardware. They need everything out there. Do you feel like their adversaries are compute constrained right now or are they just able to do a lot with a little? Depends on the adversary. The kid at home is going to be compute constrained. If you're dealing with a nation state, if you're dealing with some of the most well-funded, well-structured, well-trained adversaries that now have this capability as well. This is the challenge. That's why there was a packed arena this morning.

27:34That's why Jensen came out to talk about what they can do. Because if we don't do something and if it's not a community, it's going to be really hard to compete with this technology. It's so good. What kind of conversation are you having with governments these days? We were just talking about it's not just enough to secure the Fortune 10, the Fortune 500. You need to secure the local hospital, the local utilities operation. And it feels like the government, various governments might try and incentivize different rollouts and speed things up there. What are you hearing from talking to people in government generally?

28:11I think you've nailed the point because the world's business runs a small business. The world's economy, I should say, runs a small business. They don't have the resource. They don't have dedicated people. They don't have the dollars. and most often when they have a problem, it's also very hard where do they go. And they think, you know, I'm not going to be able to get the resource of the largest banks, et cetera. We want to spend a lot of time with them and that's super important. But importantly, governments around the world are also starting to say, hey, we need to make sure that our economy keeps working.

28:43We need to make sure that critical infrastructure, you know, the power is on, water is flowing, you know, rubbish trucks arrive. Otherwise, we're going to have chaos. And, you know, we've seen examples of critical infrastructure taken out. We can't have banks get compromised with ransomware. We can't have, you know, just pure chaos out there. And I think there's an opportunity now to work more collaboratively. And every, coming back to your question, every government wants to talk about AI. You know, what do we have to worry about? How do we use it? How do we embrace it? But what do we have to be worried about when other people that have malicious intent, what could they do to us?

29:21If they start using all of these open-weight models, what do we need to know about them? So a lot of partnership, a lot of collaboration. And I think that concept of community that we're talking a lot about this week is super important because if we don't do that, we're just not going to be on top of it. Tons of attention on AI for very good reasons. Is quantum getting under-discussed? And I say that because I've heard that there are adversaries who are hoovering up encrypted data with the hope that quantum computers in the future will be able to decrypt that data. They're stealing it now. They can't do anything with it.

30:02And so maybe even though AI is super important, we should be talking about it 99 % of the time. Should we be talking about quantum 1 % of the time? We are. Of course. And look, it's a big topic. Not a day go by. where a customer, a partner, an analyst, someone asks a question about quantum and what that means. I love the point. Just to kind of dive in where people are taking data. A lot of the time you see examples where attackers will basically exfiltrate all your data and then you don't see it again. And you get the email saying, yes, your name was in clear text, but everything else was encrypted.

30:36And now you have to think in five years that might be decrypted. Sure. But sometimes when those attacks happen, You understand when you see your name in the list, you understand what they're doing. Yeah. You understand that you are the person that they're monetizing. Sure, sure, sure. But what happens when they take terabytes of data? Yeah. They're not selling it. They're not acting on it. They're doing something. They don't even know what it is, maybe. Well, they didn't do it just because they wanted to have fun. Sure, sure. So there's intent. Yeah, yeah. Now, whether it's decrypting it down the road, whether it's training models.

31:03Yeah. You know, you need to think every attacker, there's a motivation for it. Yeah, yeah. And it's fascinating when you actually start to get behind what's driving them. Yeah, yeah, yeah. You've got to imagine there's at least a few people out there that are just doing it. Love of the game. Stop it. No, no, no. Well, that's how it used to be. Back in the day, you wrote malware because you wanted a company like CrowdStrike to say, hey, man, that Geordie guy, he nailed it. He nailed it. This is an attack. This is really innovative. We talked about it. We started it. You felt good about it. You got it in a hard place.

31:33It doesn't work that way anymore. Yeah, too insane. How is AI impacting various social engineering schemes? Well, it's funny because a few years ago, it was really easy to tell people about social engineering and said, if you read something and it reads like a 10-year-old wrote it or someone with bad English, it's probably not the bank that you have all your money in. It was an easy telltale sign. Now, they learn how to use ChatGPT. They learn how to use Gemini. The emails that they write are phenomenal. we used to see about a year ago the click-through rate in phishing was about 11 to 12 percent today with ai still feels incredibly high it's over 60 now because they're written perfect grammatically they're probably right better than us now yeah and you kind of look at what comes out it's really hard to work out what's real what's not so they're getting a lot of opportunity the thing is you grab an open weight model and you you basically say how how would i carry out this attack, it's going to give you the playbook.

32:40I've done cyber since university. You don't need any of that anymore. I kind of feel like wasted youth now because you just need a model. You ask the question and it tells you what to do. The company is on... We've got one more question. We've got time for one more question. The company is on an absolute tear. I'm interested in how you oversee all these groups. What were you telling people during the SaaS biocalypse in earlier moments? Even go back further. Just throughout the company's history, you've had a very clear vision of where things are going, the value that you're creating long term.

33:12But there's gyrations. What is it like actually managing all of these different teams? Yeah, it's got to be funny that the height of the SaaSpocalypse, you probably had the phone ringing off the hook more than any other point in history. Because at the same time, people were realizing, like, whoa, models are now at the point where. Yeah, yeah, yeah. Look, I've known George, who he had on just before for over 20 years. And I remember one of the first things he ever said to me, look after the customer, everything else takes care of itself. And that mantra goes throughout CrowdStrike. So all of this noise, you know, we just basically say, keep looking after the customer, keep innovating, keeping them safe and secure, things will take care of themselves.

33:51We know the way the technology works. You know, for me, the SaaS apocalypse thing, there was no merit to it. It didn't make any sense at all. Even today when people say, hey, all the models are going to find all the vulnerabilities and then we're going to get this state of normality. No, we're not. We're going to get more vulnerabilities. We're going to get more attacks. It's only going to get harder. And that comes from just having so many years of experience. It's having an engineering team that is at the cutting edge at the forefront. But it's putting the customer first and it's a good formula and it always works.

34:22I love it. Well, thank you so much for coming on the show. Have a great day. Congratulations on a fantastic Falcon. Up next, we have Daniel Bernard, the Chief Business Officer of Pride Strike. We've got five minutes to hang out. We've got five minutes, though. We've got five minutes to hang out. 60 % click-through rate on phishing emails. What are you guys doing out there? What are you guys doing out there? Speaking of phishing emails, there have been a raft of password reset attempts on X. Yeah, if you had another minute I wanted to ask him about. Oh, yeah, yeah. We can go into that with the next guest.

34:54Nick Carter posted on X. A lot of people getting unsolicited X password reset attempts in their email inbox. Do the following. Go to X settings, security account access, security, check password reset protection. Don't let people hack into your X account. It's simply too valuable. You can't let people take over. And this is because X money is rolled out to a lot more people. Oh, I saw that notification. So suddenly there's like a financial incentive. Now because you could potentially steal someone's money if you got in as opposed to just post a meme coin link or something like that. But anyway, the other story we got to talk about is YouTube creator, director Markiplier has acquired an 8.5 % stake in GoPro.

35:33Did you see this? The action camera maker. They've been sort of in the doldrums. A lot of competition from China. And then immediate questions because GoPro just got acquired today. Oh, it was a full acquisition? Yes. Oh, I didn't know that. Wow. Yeah. Yeah, so this news comes out yesterday, and just today, GoPro has entered into a definitive agreement to merge with privately held Starman Optical in a deal valued at$285 million. So it seems like Markiplier is up massively, which is going to immediately drop. Or it's like part of the deal, yeah. Well, it's going to immediately draw a lot of attention.

36:13Yeah. But a lot of times these things happen as like one piece of a larger deal and the state gets disclosed at a certain time because it's part of this remaking of the business. Do you think GoPro can come back? That's a good question. Did you ever use a GoPro? I owned a GoPro back in the day. I never – GoPro was one of those things where for the average person, you're capturing footage that is only entertaining to you. No one else is going to care. You know, I'm a pretty good snowboarder, pretty good surfer. Just pretty good? Remember Sean McGuire? Sean McGuire was like throwing shots, but we'll set up a heat, Sean.

36:58But anyways, I always felt like I would film something with my GoPro, and then it would be mildly entertaining for me and not that entertaining for someone else. So you don't watch game footage? You don't get out there on the waves and re-watch what happened? If you're watching game footage, it's better to watch yourself from the third person. You don't want to watch the first person. Interesting. Interesting. Yeah. Because you're putting on a show. I've owned a GoPro at various points in time, but again, never really found a good use for it. Yeah, and it felt like the GoPro budget for consumers shifted to drones.

37:29Yeah. They didn't get there. They tried. Again, that's a third-person view that is, I think, a lot more interesting to people. And there's even some drones that will follow you out while you're surfing and track you well and stuff. Yeah, and then, yeah, just the innovation. I still have very positive feelings towards GoPro. It's a great brand. They work with so many amazing athletes over the years. They were a pioneer. Yeah. The bigger challenge was just the iPhone. The guy from it got very durable, and the quality got amazing. So why would I? 100%. I can take, you can take your phone out on a ski run, whatever, and you'll be fine.

38:03The other thing, like Meta glasses, too. True. The Oakley Meta glasses. I think Best Buy reported earnings and said that smart glasses are driving significant in-store sales for them. They're actually moving. They're selling well. We haven't even seen that in a few minutes. So anyways, I don't like to see Insta360 and DJI take over. So I hope they can. But if you watch the independent product reviewers, those products have innovated in many, many ways that GoPro has not been able to keep up with, mostly because of the manufacturing side of the business. But interesting to see, you know, is this Markiplier's way of, like, buying a new merch line?

38:41Like, that's one potential view on this is, like, okay, you buy a stake in this, and then you basically run ads on your platforms to promote the new products. Maybe he has a vision. I mean, he did make a whole movie with a lot of VFX. Maybe he wants to grow GoPro into something that's more for filmmakers and cinematic creating. the Starman Optical the acquirer is an American company that describes itself as a privately held US optical photonics company focused on developing and domestically manufacturing optical transceivers so when I first saw the news I assumed it was a Chinese company buying it up but we'll see hopefully they can make and sell a lot of GoPros I'm a market player I love his journey and I think an outside-of-the-box move.

39:35It's not just another sparkling water brand or hard seltzer brand from an influencer. It's him thinking about business in a very different way. It's exciting. More news. First, let me tell you about Railway. Railway is the all-in-one intelligent cloud provider. Use your favorite agent to deploy web service databases and more while Railway automatically takes care of scaling, monitoring, and security. More news. Mr. Beast has launched a book for his audience of voracious readers. People are clamoring. People in his audience have been asking for a book. He delivered. Now, he's turned the book into effectively a lottery.

40:12It's going to give away a million dollars to somebody that buys the book. Was that on day one, or is that downstream? I know, I guess that's day one. That's the promotion. Anyway, he partnered with James Patterson, who is a huge author. Good news for the subset of Mr. Beast fans who love to Read Mystery Novels. The YouTube Giants collaboration with James Patterson is out Tuesday. That's today. Accompanied by a flurry of marketing on Mr. B's channels. Read my book and you could win$1 million. Bad news for HarperCollins. The book-buying subset of Mr. B's fans appears to be vanishingly small. Two people close to the project say the most dangerous games is on track to be a historic bomb with pre-orders numbering in the four digits as of last week.

40:54But why would there be pre-orders if it hasn't launched the marketing yet? But I'm sort of skeptical about this. Yeah, this is the first time I'm hearing about it. This is the first time I'm hearing about it. And it seems like Mr. Beast just uploaded the actual contest. And, like, you could say she shouldn't be running a lottery or I don't like this type of book promotion. But, like, that's a step separate from will it work. And I will say if the pre-orders or the orders still stay in that four digits, hedge funds getting involved. Hedge funds? Buying up more of the books and enter the lottery.

41:25Oh, go to win the million dollars. Yeah, yeah, yeah. You could win hedge funds. Well, typically with a raffle like this, you don't have to actually buy the book. You usually can just sign in and send it over. But will you be reading it? I think one of us has to read it. Or at least Tyler. Tyler can read it. Where are you? We can get Tyler to read it. Anyway, we'll have more fun with that in just a minute. Let me tell you about public.com, investing for those that take it seriously. They've got stocks, options, bonds, crypto, treasuries, and more with great customer service. And our next guests are here.

41:53Welcome to the stage at Falcon with TVPN. Great to see you. How are you doing? Great to see you. How are you doing? Yes, John, Jordy. We're going to have you throw on these headsets. It's a little bit loud in here. There's a lot of CrowdStrike fans. The CrowdStrike fan zone is going insane right now. Just get the microphone sort of as close as you can. Let's move this around. Flip this up. There we go. I think you put it on backwards. words. There we go. Anyway, let's start with introductions. Introduce yourself. Tell us who you are, what you do. Hey, guys. Daniel Bernard. You can call me DB. Chief Business Officer at CrowdStrike.

42:35How popular internal nicknames at CrowdStrike? They're super popular, but there's only one DB. Okay. That's you. That's right. Thank you. Justin Boitano. I lead the enterprise business at NVIDIA. So good to see you guys. Yes, good to see you again. And tell us about the partnership. Tell us about the news today. Well, big news today. We launched Safe of mine, Cybersecurity's first frontier models and harnesses custom for cyber, made by cyber for cyber. We built this on Nemo Tron, and it's bending the curve of frontier AI and the advantage of defenders. Better protection. Harnesses, plural? There's multiple harnesses.

43:09Why would you pick one? What's involved in selection? What are the differences? Are we talking about pure economics, tokenomics, or are there more like the right tool for the job? Right. Go ahead. Yeah, let me give a little bit of color. I think the big news, too, is that the frontier is in the harness. It's not really about just the model. It's about the entire system. And so what the CrowdStrike team have done a phenomenal job doing is tuning the harness for attack, tuning the harness for defense. and the harness is the thing that's going to sit there and reason and call tools and work through solving the problem, whether it's finding vulnerabilities or finding and writing detections.

43:51And so I think the work that we've done both through the harness and through the open model creates this super capable agentic system that is going to always be on and be able to learn from enterprise environments. Jensen talked a lot about how we're deploying it internally. we're building the digital twin of our environment. We can basically go through these attack defense simulations to build the best defenses for our organization. That's great. As you went about building this, how important were benchmarks to you, public benchmarks, private benchmarks? How do you see that fitting into the tool chest of building a great product?

44:29Super important. We need it to be more performant than what's out there today. The goal here that we both set out to achieve is this thing needs to be better, faster, and more cost-effective than the other open source and frontier models of the day. Four cybersecurity use cases. That's the big thing. We're not here to change the world of science, math, manufacturing. We're here to stop breaches. We're here to make cybersecurity better. That's offense, that's defense, and that's continuous learning. Better performance at each step of the way, and that's the data we have that we shared with the market today.

45:02Talk about the decision to go with Nematron. There's a lot of open source models. I can imagine why you didn't pick some of them, but break down the decision. Look, there's a really, really close relationship between CrowdStrike and NVIDIA. So we didn't even look at anybody else because, you know, when it comes to, like, the foundational layer of AI that we've built the business on, you know, that's GPUs. And who do we get our GPUs from? The creators of them. That's NVIDIA. And so when it comes to open source, and you can look at NVIDIA and Jensen, such a strong perspective. and really across everything you're doing too, Justin, like the world needs open source.

45:35The world needs choice. That just aligns with us very culturally as well. So there was nowhere else. Like, why would we go anywhere else? And for us, the feeling was mutual. I think Jensen said on stage, CrowdStrike is our number one partner in cybersecurity. They have the perception system that really understands what's going on in customer environments. So if you pair that perception system with, we'll say an open model that we built, it's built as general knowledge. But we put out there the data sets, the open techniques, and the weights, so they can be customized by CrowdStrike, so they can build their own specific cyber domain intelligence and be able to build a new business model where they're selling tokens to secure enterprises, and they're doing it in the most cost-effective way by building on that open foundation.

46:21What else is NVIDIA bringing to the table around a project like this? because Nematron is obviously the model layer, but all of a sudden the GPUs. But yesterday I saw a fantastic deal with our buddy at Lambda for, you know, a big... Because they're busy. Yeah, you're busy. Big GPU cluster. Is there advisory that you can provide even if CrowdStrike is going to be racking NVIDIA GPUs? Like, how deep does that partnership go beyond just like, cool, here are the weights, we signed on the line, you can use them. Okay, yeah. Yeah, I think most, I mean, as I mentioned, most of the advancements at this point is research in the harness.

46:59So our research teams, you know, George announced this, what is it called? Cyber Super Intelligence Lab. Cyber and Super Intelligence Lab. We have a bunch of cyber researchers. And basically what we're doing is we're constantly publishing where advancements are coming in the ecosystem or in these environments. Like we put out there a few weeks ago some new harness research that we called AVO that showed in ARC AGI 3. We could take a frontier model from 30 % accuracy to 100 % accuracy. That's an ARC AGI V3? Yeah. That's insane. And that's all open research that we're sharing with us. Big surprise over the last month is people showing what's possible with a different harness versus ARC's standard harness.

47:45Yeah. Yeah. So we share all of that open research together to advance the industry. And ultimately, we're not a cyber company. They're the cyber company. They have the domain intelligence, the perception into customer environments to understand real attack paths that people are trying to exploit. You add to that these new agentic attack paths that people are trying to understand in their environment. And ultimately, we want to help power defenders and give them this differential advantage that Jensen and George talked about. I'll add on to that. I think every meeting that I have and that everyone at CrowdStrike has in NVIDIA, they all start the same and they end the same.

48:20How can we help you grow? It's the first question. It's the last question. It's from Jensen all the way to the person at the front desk. I love it. And so your answer to your question of what's on the table, everything is on the table. Everything. The whole shop's on the table. It's like, what do you need from us? That's great. So who's the best AI partner that we have? It's NVIDIA because they're helping us take cybersecurity to a whole new space. and we're bringing them to over 100 ,000 customers and everybody that's on the show floor here today. Yeah, that's great. How important is human design of RL environments for this harness development?

48:56You obviously have the most insane data collection. Correct. Decades of experience across the entire organization. There's a lot of value and ways that I could see. If there's a huge jump, I'm not surprised. Sure. Congratulations. but how much is it about actually designing new environments and then go training? Intelligence, I believe, is really becoming somewhat commoditized. I think what's really real in this next chapter of AI is how you contextualize based off of specific situations. So the fact that we have Falcon complete data, that's managed detection and response data, from human analysts that took actions over the last number of years across all these different environments, the fact that we have frontline incident responders that stop the breaches, all that data set lets us curate something that's super relevant and super focused.

49:45And then we take that and we operationalize it with the harness so that we can bring a better model that's built on Nemotron and have an appropriate harness for solving different problems and have an iterative learning loop. Like where this all goes, in my opinion, is you'll see more models and more harnesses from us in the SafeMind family that solve different security use case problems. And that's all based off of the experience of our practitioners. CrowdStrike is cybersecurity built by and for cybersecurity practitioners. I think that's really different in the market for us versus a lot of the other random companies that you find that say that they're here to work in cybersecurity.

50:22Everything is based in solving a real problem. Yeah. How are you thinking about educating the customer, the buyer, on cost and how to think about the shape of cost in this token maxing? I mean, a breach can be so devastating, throw all the dollars at it, but at the same time, there's amazing trade-offs that you can do with smaller models, different infrastructure, and different pieces of the puzzle. Let's start with Justin because I think you've been helping evangelize open source. Yeah. Well, in our environment, so you've got to remember, so one, we are also a big enterprise. We have to look at the same threats as everybody else, right?

50:58Yeah, of course. And I think a lot of the conversation has been steered around code vulnerabilities. but in a production environment, it's really about also the configurations in your running environment. And so, you know, for us, I mean, to your point, the harness should be able to use the best of Frontier and the best of Open to reason through and figure out which problems you need to use which models for. And ultimately, we assume it's going to be always on. We want to start by trying to make it as low cost as possible by providing open intelligence that they can domain adapt. So the SafeMind models are probably the default.

51:33Yeah. With the exception being the Frontier, if you want to look for very novel new things. Sure. And that kind of gives you the best cost benefits when you run this all the time across code, binaries, and configurations in your environment. Yeah. We've heard it loud and clear from customers that just going one direction with Frontier Labs is just too cost prohibitive. Yeah, yeah. But open source at this point, like generic open source, is sort of like you don't have the compass that's spinning in a circle. So what we need to do is have the best use cases, the best results, the best outcomes, and also deliver it at the best cost.

52:06And that sort of is the aperture that we need to play in with this thing. And so I think every enterprise is grappling with. We have this new line item in COGS that's called tokens. You know, five years ago, it didn't exist. And it's not like you necessarily say goodbye to anything else, by the way. You're doing more with your cloud providers. You're using a lot of software. You need to secure all of it with CrowdStrike, of course. So I think everybody's in this redistribution or rethink of how you do budgeting in this new AI-first world. Yeah, and I think every enterprise is planning to spend more on AI next year, but at the same time trying to be a lot more efficient, right?

52:41And so that's why these two, these closed models, open models can coexist, and actually the industry can continue to thrive. Yeah. How do you think about the, we were talking about this earlier, but the economic warfare between attackers and defenders? Because the benchmark performance, all the stats that you mentioned, those are great. But I'm almost more excited about the cost savings because this is a technology that needs to be always on, running all over the place. It needs to be, you know, too cheap to meter, essentially, as fast as possible. So it can be everywhere because if an attacker is only trying to come through one door, you've got to make sure every door is secure.

53:20So how are you thinking about the economic balance between attackers and defenders? Well, the way I think about it is prices, I mean, value creation is always measured economically in a P and a Q. Yeah. What's happening right now is the Q is going out of control. Yeah. So, like, that's the big picture. Like, there's more attack surface than ever before. Yeah. And that means there's more opportunity to come back to your question. There's more opportunity for adversaries to play around. Yeah. And they don't have to be right every time. They just need to be right once and go get something off the shelf somewhere and use the weapon.

53:49And if the weapon works, that's a good day for them. So do you think 2026, if we look back in a decade, do you think the attackers are going to be like that was the best year we ever had? Or do you think it's going to be the moment when the defenders are saying that was the moment we figured things out? I'm going on a limb here. Justin can back me up or you can have your own opinion. But, like, Safe Mind changes the curve. Like, I think Frontier AI has disproportionately advantaged, well, one, everyone sees advantage. Yeah. But I think sort of until like this time, it's sort of disproportionately advantaged adversaries.

54:28Okay. And I think it's time to change the tide. Sure. And that's why we're working together. We want to see that change happen and make that a reality. Yeah. There's a lot of great technologies on the floor here. There's a lot of great cybersecurity companies. And there's a lot of companies that we're keeping safe all the time. But it's too easy and it's too dangerous for these adversaries to get their hands on things that are way too powerful. Yeah. And I think it's another example of a domain where, like, general intelligence can, like, come and do attack. But it's going to be pretty expensive to run these attack paths through these, like, frontier large models.

54:58Think of it like a battleship, right? Of course. And then what you want to do is you want to help defenders have the equivalent of, like, drones, like super low cost, you know, models that they can run everywhere. So they can run across their entire state. and to DB's point, the goal is I think to help specialized cyber security defenders have the tools and their advantage is also they know the code, they know the configs that they run, the people coming in from the outside don't, so on the inside you can do all that recon, you can map your environment, you can use these lower cost models to find potential new attack paths and then continue to close them down and do it at a lower cost if you use these new platforms like SafeMind.

55:37You guys are in the position where you can be at the frontier with these capabilities, but there's not this insane pressure from billions of users out there. Hey, you have to release these cyber capabilities to everyone, right? Whereas the frontier labs are in a different position where you have hundreds of millions or billions of users that want the best capabilities for things like coding and these other capabilities. Well, we have the pressure of lots and lots of big numbers of attack surfaces. Those are endpoints, identities, cloud workloads. And they're putting a lot of pressure on us because they all need protection.

56:12We can't let any of those things get compromised. So the threat's real. The need is there. The budget's there. But the market's asking for something better and something different. You don't treat a specialized illness with a generic pill. You need to have the right dose, the right therapy. I think that that's really what we've done here. And I think with every platform company, we're a platform company. We know what we are and what we're not. We're an accelerated computing company. We're not a cybersecurity company. And so these natural partnerships sort of emerge to allow us to go in a specialized way, solve the problem in a very focused way.

56:47I think, you know, even the frontier labs are probably thinking to themselves, like, where do they really want to own Alpha and go try and compete? Where do they want to partner? And I think in these areas of, like, specialized intelligence for cybersecurity, you know, We generally think the best approach is help protect critical infrastructure, help make the world a safer place, and we'll all be in a better place. Yeah. As a platform company, what is the advantage that you see occurring over time around having diversification in the actual chip fleet? I mean, there's this Grok deal coming online.

57:23There's already a number of different configurations of rack scale servers and all sorts of different, back to the gaming chips. I mean, I see people running AI loads on those, too. What is the advantage and the shape of that over time? Well, we're an accelerated computing company, right? So we have to accelerate everything. And the reality is, you know, different models need different, you know, capabilities. And so ultimately, we want to be able to provide the capabilities, whether you're doing pre-fill and inference or decode, have the most performant, capable architectures. architectures. And then ultimately, as Jensen always talks about, we're building rack scale infrastructure with seven processors.

58:00We're trying to be best of breed across all of those so that we can build these large AI factories and drive the best token efficiency per watt. And then ultimately have a great partner ecosystem that can extend that efficiency into these new domains and use cases. That's fantastic. Well, congratulations on the deal. Thank you so much for coming on the show. Pleasure to be here. Thanks, guys. Have a good one. Thanks for having me. Thanks for having it on. This was fantastic. Thank you to everyone who's tuned in, live from Falcon. Great to see you. Cheers. Okay. There are a few more stories that we should get through.

58:34Let me tell you about Shopify. Shopify is the commerce platform that grows with your business. It lets you sell in seconds online, in-store, on mobile, on social, on marketplaces, and now with AI agents. Jordy, was there anything else that you wanted to get to? Give John Turnus a quick follow over on X. Yes, John Ternus has hit the timeline. What a moment for X in some ways, right? You know, we're how many years into the platform, and it still feels like if you assume an important position in the world of business, you simply can't afford not to be on X. Yeah, no, the fact that, I mean, it's not like he's, like, you know, tweeting random stuff or actually, like, breaking news there yet.

59:16No, he is. Since we started the show, he started shitposting. No, I'm kidding. No, he tweeted hello, lowercase, very online, very native. But the fact that Jensen's on there, Mark Zuckerberg's on there, the AI conversation is truly happening on X, and it's exciting to be a part of it. Apple investors want the new CEO to be an innovator. This is in the Wall Street Journal, Ralph Winkler writes, talking about there is one way which company observers have said has been lacking since the Steve Jobs era, revving up Apple's innovation engine, especially in artificial intelligence. Tim Cook's brilliance was to take the company Jobs built and scale it massively.

59:58The year Cook took over, Apple sold 72 million iPhones. This year it will be 255 million. Tripling volumes, hitting annual release dates like clockwork, minimizing risky capital investments, and returning more than$1 trillion to shareholders. That is a size-gone moment. helped Cook multiply Apple's valuation by 13 times. But Ralph Winclair in the Wall Street Journal says that Apple's investors now want Ternus to change things up. It's not enough to rest on your laurels. Just focus on operational efficiency. He's got to innovate, according to the Wall Street Journal, they say. But in Wall Street parlance, the positives look priced in.

1:00:37Apple stock trades at 33 times next year's earnings compared with the S &P 500's collective multiple of 20 times. Apple gets that premium even though its earnings are growing half as fast as the market. Investors are paying up for Apple because it looks safe at a time of broad anxiety over returns to be had on massive investments in AI. But when the valuation gets stretched, safety isn't safe anymore. And there are negatives that investors may be overlooking in the age of AI. Apple has lost its status as the company that defines how consumers interact with devices, a title it held for 40 years from Apple II to the iPhone.

1:01:13So the Wall Street Journal wants Turnus to take risks, launch new products, go aggressively. He certainly seems like he's stepping back from the Apple Vision Pro, sadly. But we'll see what he does. It'll be an exciting time. And last but not least, Dyson just released a new AI-powered toothbrush with integrated 100 ,000-pixel macro lens camera for$499. I know a lot of you people have been asking for AI in your toothbrush. I certainly know I have. And I'm glad that - This can't possibly be the first AI toothbrush. There have to be other ones. Somebody's got to get this and try it out. I certainly have never wanted AI.

1:01:52Also, what are we doing with this 100 ,000 pixels? In my toothbrush, or really a camera in my toothbrush. That's not how people measure camera lenses. They say megapixels, which I think is a million pixels. So it's actually a 0.1 megapixel lens camera. But I think we've got to give it a shot. Okay. We've got to give it a shot. I don't want to judge it too much. I do like a good wooden toothbrush. I like a wooden toothbrush, personally. I think they get the job done. But we've got to try it out. We'll be back in the Ultradome tomorrow. Yeah, back in the Ultradome tomorrow. Cannot wait. We're heading back to Hollywood.

1:02:28Thank you for tuning in, folks. It's been an honor and a privilege. We'll see you tomorrow. Goodbye.