George Kurtz: Well, the current state is the reality, which is that’s what we’re doing today. So we’re taking all that rich telemetry from the CNAPP offering, agent, agentless and even the exposure management that all from an XDR perspective, is coming back into the Falcon platform and is available to any of the algorithms to identify and prevent any sort of malicious activity. It’s also available from a compliance perspective to help customers manage their compliance and risk. It’s available from an asset graph perspective, which gives customers an idea of what’s actually in their environment. And then from a cloud detection response perspective, we actually have some of our managed services that are able to help cloud customers, which at this point, is sort of an epidemic of issues in cloud environments, the way the adversaries are operating.
So we’re really pioneering that space and putting it all together. And there is a reason why we’re one of the largest cloud security by revenue vendors in the market today.
Operator: Thank you. One moment please. Our next question comes from the line of Peter Levine with Evercore ISI.
Peter Levine: Great. Thanks, guys, for taking my questions. George, maybe just to piggyback off of that other AI question. Every vendor is telling us their AI is proprietary. The outcomes are proprietary to their data. So maybe explain to us like really where the competitive moat comes from? When we hear Microsoft talk about or at least push all their products, their customers going copilot, Palo, Zscaler are all talking about kind of the same outcomes. But maybe put a finer point on why you think what your moat is around Charlotte AI?
George Kurtz: Sure. It really is a good question, and I certainly agree with you. There’s a lot of people talking about it, and I think we’re actually delivering it. One of the things that I would point you to is the data set itself. And what’s important to realize it isn’t just about the most data. You’ll hear that from a lot of vendors. One vendor will say more data than the other. It’s really about sort of the curated data set because when we think about generative AI, it actually has to be trained. We think about ChatGPT, there’s a bunch of humans helping to train it. Just so happens, probably more by luck than understanding generative AI was going to be on the horizon, that when we started the company, we actually have a very well-defined training set that’s annotated based upon all the threat hunting that we’ve done over the last 10 years.
So we believe our 10-year head start in terms of having a data set that’s actually curated is going to give us a distinct advantage of helping our customers. So that’s a big area. And then it’s a foundational platform component, which is made available to every other service on the platform, which is different than others. So again, first innings, we’ll see how it all unfolds, but initial customer reaction has been very, very positive.
Operator: Thank you. I’ll now hand the call back over to CEO, George Kurtz for any closing remarks.
George Kurtz: Great. Well, I want to thank everyone for their time today. We certainly appreciate your interest and look forward to seeing you in person at our upcoming Fal.Con conference. Thanks so much, and we’ll talk soon.
Operator: Ladies and gentlemen, this concludes today’s conference call. Thank you for participating, and you may now disconnect.
