CrowdStrike Holdings, Inc. Class A Common Stock Fal.Con Day 3

I'm so glad all of you are here. I'm glad there's more than five of us here together. I'm glad I'm here. I'm glad we all made it. It's incredible. Look at the arena. It's an incredible place. So big. I think it's a testament to all of you. We're all here to talk about the same things. Looks like you all are having a good time, and that's great to see. I need to set the stage just a little bit. If we go back to Tuesday, if we go back to Wednesday, if you were here, I know you saw a lot of great demos. Think about what you saw in George's keynote. Think about Mike's keynote with Falcon Guardian, an incredible demo that you saw with Falcon Guardian. I think what you're going to like about today is I have something equally exciting for you.

I have graphs and charts. That was weak, but that's the loudest that applause has ever been for graphs and charts, so I'm going to take it. I'm going to take it. Let's get into it. Let's just get started. Last year, if you were here last year, you probably heard George talk about cybersecurity intelligence. You heard him say his vision to transform CrowdStrike into the world's first cybersecurity frontier AI company. I had a fantastic call with George, and a lot of people at CrowdStrike, and the question was basically, "Hey, do you want to do this thing?" What do you say to that? I'll give you the answer. The answer is apparently you say yes. We're here. What does that mean? What happens after you say yes to that? AI and what it does is incredible.

What it does for cyber is it ratchets up the speed, it ratchets up the need for defense by about 1,000, if not more. Your job was already difficult. This is the part of the presentation that I call Things You Already Know. Your job was already difficult. It just got a lot more difficult. It comes down to four core challenges you've been hearing about all week, rogue AI, insider risk, AI as an attack surface itself, and the changing economics of cyber attacks. Everyone's chasing the same ceiling, scaling logs, bigger models, more tokens, more compute, scale upon scale. Turtles all the way down, for those of you that get that reference in the audience, right? There's tremendous value in domain-specific models and harnesses. Focus is a superpower. We can have these amazing advancements by focusing on models, focusing on applications.

You need AI to operate in situ, working alongside people, working alongside you and your companies, the people who understand your enterprise the best. Look, we now live in a world of unlimited offense. The bounty of offense is like nothing before. Time scales are compressing. It's easier than ever to share tradecraft. The full attack life cycle has been commoditized. What gives the defenders back their advantage? That's the question that we're setting out to answer. What gives you back the advantage? What gives you back not just a tiny advantage, but an insurmountable advantage? We must do this. We must create not only equivalent, but better defense, one that accounts for the full attack life cycle, how adversaries operate in the wild. That's why we built the world's first Cyber Superintelligence Lab. It's an incredible lab. I'm really proud to be a part of it, really proud that CrowdStrike is doing it, and really proud that we chose a very long name for it.

That's how important it is, the world's first Cyber Superintelligence Lab. This is not a lab just to crank out research papers, although spoiler alert, we're going to do some of that. Please read it, cite it. I need my h-index to go up, for those of you in the audience. It's not a lab just to say what we can't do. A lot of labs, a lot of places will write papers and they'll say, "You can't do this, you can't do that, you can't do this." I want to tell you what you can do. This lab is built for the real world. To do this right, we need a lot of things.

We need the best talent. We're bringing together the best talent across AI, cybersecurity, adversary strategy, and engineering. Look, one of my goals, and we'll debate how good I am at this at the very end. We can debate about it, is to make things as straightforward and simple for everyone as possible. The lab mandate is incredibly straightforward. We are a frontier AI research applied to cyber defense. Remember, focus is a superpower. That's what gives us the advantage. We're fundamentally changing the way we perform cybersecurity operations. It's 2026, we're doing it. It breaks down into four key areas. They're even on the screen. We didn't even talk about the size of the screen. No one's mentioned the size. It's huge. So you can read it from wherever you're at. The four key areas, developing industry-leading frontier cybersecurity models. Core one. We must do this.

Engineering specialized harnesses designed from the ground up to operate these world-class models effectively and efficiently. It is not sufficient just to be effective. You must be efficient. We're going to talk about the need for always-on continuous defense. You don't do that without efficiency. If you remember George's keynote back from Tuesday, you saw the loop. It was a great graphic. It was a great graphic, great demo. Again, I have charts. But you already saw it, and you can go look at it online again. But you saw the loop. The best defense in the world is informed by the best offense. But how do we do that? How do we let the best defense be informed by the best offense? We must create areas to securely run those tests, areas we control as defenders. Thousands of high-fidelity tests, these digital twins.

We can't do any of this without a clear benchmarking strategy, a clear evaluation strategy, a clear, open, and transparent way to share our results with all of you and have all of you share your results with us. CrowdStrike brings together the rigor of that lab, matched with the pragmatism of a trusted cybersecurity company in a way that I haven't seen before. I don't think any of you have either. Let's talk about the features. Let's talk about the individual components that go into success. What is necessary? First is the data. In order to fuel model tuning, validation, harness development, you need the best data. If we go back a decade, sounds terrible to say it like that.

When we were starting this thing called data science, we had this saying for the data scientists in the group, "Garbage in, garbage out." That's what we would say. Data is so important, and it's not just the volume of data that you need. You need the highest quality, highest fidelity amount of data you can get, and of course, you do need a massive amount of that. The CrowdStrike Falcon platform stores more than an exabyte of uncompressed data. That's 50 times the Library of Congress's digital collection. Every day, today, yesterday, we analyze over 7 trillion events. That's more than 840 events for every person on Earth, every single day. I can't remember the last 12 events that I did, much less the last 840 events that I did. It's an incredible amount of fidelity that we're talking about in this data.

Finally, we also ingest around 14 petabytes across first and third-party data every single day. For those of you that are looking forward to binge-watching on the flight back, that's more than enough data to stream 2 billion hours of 4K video. CrowdStrike has the best data in the highest volume, and the data is foundational. It's foundational, and it allows the lab to take open source AI models and turn them into those highly specialized, highly bespoke, highly accurate security intelligence tools. Data without expertise is just data. It's fuel that's just laying there on the ground. At CrowdStrike, again, we're solely focused on cybersecurity. You can say it with me. Focus is a superpower. It is our superpower. We are focused on making the best possible defense, giving you the advantage.

We have 270 PhDs, over 500 threat researchers, hundreds of AI researchers dedicated to this task at CrowdStrike. Of course, none of this is also possible without the Falcon platform. Look, the Falcon platform was built to take advantage of this AI era, even before we knew what the current definition of the word AI was. I don't want to date myself too much for all of my newfound friends in the audience, but if I go back, AI had a very different meaning even 30 years ago. Maybe even 2 years ago, than it did today. But the great thing about the Falcon platform is it was built for the fundamentals of AI that we have today. It's built for the data ingest, it's built for that high fidelity, and it's built to allow the best offensive researchers and the defensive researchers to operate in that platform as well.

It gives us the foundation for everything I'm going to talk about today. So that's a little bit of setup with the lab. Let's talk about the lab's first series of innovations, and we're calling that CrowdStrike SafeMind. It's a shorter title, right? Shorter title. It's a great title. CrowdStrike SafeMind. SafeMind is how we're building beyond frontier capable defenses, co-evolved with the best offensive techniques. I totally forgot to mention, there will be a test after it. So you can pick up the test in the back. So make sure you get the test on the back. There's all the fancy words you're going to need to know. The charts are coming. That'll all be part of the test. We've poured countless of hours into harness engineering, built 2 new classes of frontier models.

In short, the first series, the first steps, innovation in what lets defenders take back the advantage. Again, you saw the demo. Demo was great. Please go back and watch the demo. I want to double-click a few levels deeper into that and walk you step by step through it. What is SafeMind? There are three important areas of SafeMind. As anyone knows, everyone on the planet is contractually obligated to have three components for everything. It is never four, it is never two, it is always three. So there is three components of SafeMind. The first is offense. Why is offense the first in a system that is built for defense? Well, you cannot build you cannot build the best defense without knowing about the best offense, without knowing the adversary. Is not that right? You cannot build defense for things you cannot see.

Second is defense, informed and co-trained with the best offense. Third is a complex and accurate cyber environment, a digital twin, an emulation. Underlying all of this, I know it is not on the slide because you are getting three things on this slide, but for all of the data scientists, for all of the researchers in the room, it is there. Underlying all of this is rigorous evaluations, transparency, and trust. Until now, how was it? How long have we been up here? 10 minutes or whatever. Until now, the industry has had separate agents for offense and separate agents for defense. Look, I get it. It makes total sense to do this. I even said it. I have said it so many times, you are going to be sick of me saying it. Focus is a superpower. So I get it.