CrowdStrike Holdings, Inc. Class A Common Stock Goldman Sachs Communacopia + Technology Conference 2026
Review the key takeaways and the transcript of this earnings call.
- CrowdStrike CEO George Kurtz discussed the launch of SafeMind, a continuous penetration testing loop leveraging NVIDIA's Nematron models and proprietary CrowdStrike data, designed to enhance cybersecurity defenses through an agentic system combining offensive and defensive models with a digital twin for simulation.
- CrowdStrike hosted over 10,000 customers at its Falcon conference, featuring industry leaders including NVIDIA's Jensen Huang and representatives from Anthropic and OpenAI.
- The company highlighted the cost efficiency of its frontier model solution, with remediation costs at $0.03 compared to $10 for other frontier models, emphasizing the importance of training data and model harness.
- CrowdStrike introduced Guardian, an AI Detection and Response (AIDR) product designed to protect AI agents, launched immediately after announcement and consuming flex credits for licensing.
- The company reported tripling flex deals in the last quarter, with flex-first selling motion and $2.3 billion in total flex contracts.
- CrowdStrike emphasized the scalability of its platform to handle faster and more frequent agentic attacks, noting the collapse of attack windows to near zero and the rise of agent states as apex predators.
- The company is addressing legacy to next-generation security modernization by helping customers replace outdated technologies and consolidate tools, leveraging flex credits and demand planning.
- CrowdStrike noted increased security budgets driven by CEO-level support to accelerate AI deployment, with security shifting from a brake to a gas pedal role in IT spending.
- The company expects durable growth in security spending aligned with rapid AI technology adoption, forecasting a steeper inflection point than seen with cloud adoption.
- CrowdStrike foresees widespread adoption of AIDR, predicting it will be mandated in regulated industries and become as essential as antivirus or EDR.
- The company discussed the evolution of identity management toward zero-standing privileges for human and non-human identities, enabled by the acquisition of Signal AI and focusing on ephemeral agentic identity control.
- CrowdStrike announced an AI gateway product launching in September to enhance network visibility, integrating with existing AI gateways and using a transparent proxy on its agent.
- The company extended its threat graph and visibility capabilities to track agentic sessions and lifecycle management, tying prompt, identity, and runtime layers uniquely in the industry.
- CrowdStrike entered the SIEM market with the acquisition of CUMEO, offering next-gen SIEM that does not charge for first-party data ingestion, improving cost and operational efficiency for customers.
- The company highlighted AI-driven R&D efficiencies, applying AI selectively across legal, development, marketing, and HR, with increasing internal agentic workflows and processes.
- CEO George Kurtz noted his personal productivity has improved dramatically with AI, enabling rapid white paper creation and enhanced workflow automation.
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Transcript
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Hey, good afternoon. For those of us who have been at the conference for the last couple of days, the number of thought leaders in AI on this stage who have talked about cybersecurity, we're pretty much batting 10 out of 10. Really excited to have George Kurtz, CEO and co-founder of CrowdStrike, on stage with me. George, thank you for being here.
Great to be here. George, I want to start off with some of the most exciting announcements at Falcon from last week, because as far as industry conferences go, the combination of having Jensen, thought leaders from Anthropic, OpenAI, all of the enterprise customers in one place, along with, I think it was 11,000 customers- Yep was really a different level of conference than what we've seen before.
I want to start with one very specific announcement that you announced, which was SafeMind.
Yep. To bring the audience up to speed, SafeMind is CrowdStrike taking Nemotron and applying it to very specific proprietary CrowdStrike data to create a continuous penetration testing loop.
George, maybe I'll turn it over to you. Tell us a little bit about the evolution of this idea and why it's important.
Sure. It was a fantastic event. We had over 10,000 customers. It became really an industry conference, and we were lucky enough to have Jensen and Lip-Bu Tan and Greg there, and others. It was great from that standpoint. I think when you look at SafeMind, it goes well beyond the models, right. We think about it as really an agentic system, which consists of the models and the harness. It's very important to put those together. If I was to distill it down into three areas, you have a red model, which is the offensive model, Red Tempest, and you have a blue model, Blue Solano, which is our defensive model, and then you have a harness that works in combination with that.
I would say, I don't know, maybe 6-plus months ago, I sat down with Jensen, and we were talking about security and really the conversation was, we need to do something to provide defenders with what they were lacking and give them sort of a fighting shot in the agentic world that we live in today. They're great partners, and part of what we did was we started the Cyber Superintelligence Lab led by Bartley Richardson, who came from NVIDIA, so that kind of helped. The whole idea was how do we work in tandem with NVIDIA to leverage the Nemotron models, these multiple ones, but Nemotron 3 Ultra, and basically create something that was bespoke for CrowdStrike and its rich data set and its history of collecting all this data.
The whole idea, just to summarize, and we'll get back to the questions here, is with the harness and with the red and the blue models, you have this continuous loop where the defense is always learning from the offense. One of the things, and Jensen was insistent on it, which was like, we need to have a digital twin because we talked about all the other areas in technology driving robotics that have digital twins so that we can very quickly simulate this environment. It can run in a digital twin or it can run in the real world.
I want to put two potential bottlenecks in front of you on SafeMind adoption going exponential.
Yeah. The first is CISOs are a pretty conservative bunch.
Yep. We've been talking about automating the SOC for a really long time, it's still like pulling teeth.
How do you get CISOs comfortable with something as important as pen testing being automated in a continuous loop?
Well, I think it starts with we were on the system, so we already know what the systems are. We already know the identities. We already know the exposures, the patch levels, the vulnerability management aspect of it. We built an incredible digital twin. Sometimes you call it a digital cousin. Everything's not exact, but basically it allows us to very quickly simulate what that environment looks like. I think that's the first part in getting people comfortable with these sort of technologies. Now, if you want to leverage this internally or you want to leverage it externally and you want to just consume the models directly, you're going to be able to do that for companies that are part of our Project QuiltWorks trusted access program.
But within the technology itself, there will be some guardrails around it, but the digital twin will serve as a way to really very quickly simulate what could happen, and that is very exciting and important for customers.
The other pushback that we have heard just in the last week or so is, okay, well, if you look at the publicly available Nemotron benchmarks, they are not on the frontier. There is a progression that will happen over time here, but why does that not matter for CrowdStrike to have an incredibly performant frontier model solution or a cyber frontier model?
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