CrowdStrike SafeMind and NVIDIA Launch First Frontier AI Models Built for Cyber Defense

NVIDIA and CrowdStrike Strengthen Agentic Cybersecurity Frontier

New CrowdStrike SafeMind agentic cybersecurity system built with NVIDIA Nemotron open models delivers greater protection and cost savings for cyber defense. "We're at an inflection point in cybersecurity," Jensen Huang told a sold-out crowd at CrowdStrike's Fal.Con 2026 in Las Vegas Tuesday. Attacks are now automated. Defense has to be, too. The NVIDIA founder and CEO joined CrowdStrike CEO and founder George Kurtz to announce CrowdStrike SafeMind, its agentic cybersecurity system developed by the CrowdStrike Cyber Superintelligence Lab. "This is the beginning of a new age of cybersecurity," Huang told the crowd of 10,000 security professionals. "On the one hand, the adversaries are going to be more armed than ever. On the other hand, all of you are going to be more armed than ever." SafeMind combines CrowdStrike's purpose-built, beyond frontier-capable models and customized agentic harnesses, with defensive models built on NVIDIA Nemotron, in a continuous coevolution loop where offense and defense repeatedly challenge and improve each other. CrowdStrike also announced CrowdStrike Falcon IQ to operationalize Project QuiltWorks through agentic workload automation and expanded its CrowdStrike Guardian AI safety solution. "We have asymmetric advantages because we have a large community of cybersecurity experts who want to work with each other and keep the world safe," Huang told the crowd. CrowdStrike's annual conference drew security leaders from financial services, healthcare, the public sector and critical infrastructure. "The real gap that I saw was that the attackers had frontier AI, and the defenders didn't," Kurtz told them. "And that changes now." SafeMind CrowdStrike built SafeMind's defensive model using NVIDIA Nemotron open models, post-trained with CrowdStrike's cyber experience and threat data. The SafeMind models are paired with proprietary cybersecurity harnesses optimized to work as an agentic stack. The result ships natively in the CrowdStrike Falcon platform as SafeMind, CrowdStrike's agentic cybersecurity system. SafeMind brings offensive and defensive AI together in a continuous coevolution loop, where each side adapts to and strengthens the other. This process continuously hardens the security of the customer environment until attacks are unsuccessful. "Your decade and a half of security data that we can train on -- we can take a frontier model and make it essentially a super AGI that is incredibly good at cybersecurity," Huang told Kurtz. "Together with NVIDIA, we built cybersecurity's first complete agentic system for cybersecurity, including the first frontier models and harness purpose-built for defenders," Kurtz said. "This isn't a copilot baked into someone else's intelligence. It's not a chatbot with a security skin. It is a frontier-class model built and trained by CrowdStrike on our data in partnership with NVIDIA." NVIDIA Nemotron 3 Ultra orchestrates the defensive agent harness. A fine-tuned Nemotron 3 Super powers SafeMind's rule-generation sub-agent. By post-training Nemotron with CrowdStrike data, CrowdStrike internal evaluations showed that the Blue Solano model -- based on Nemotron 3 Super -- delivered higher accuracy rates than leading frontier models at 99% lower cost. While SafeMind can operate as a complete system, the models can be used independently to empower defenders to stay ahead of the adversary. Security experts can also pair their own models with CrowdStrike's custom harnesses, giving customers the flexibility to use the right models and capabilities for their environment. "The harness is essentially the exoskeleton of the large language model," Huang said. "The large language model is the brain. The exoskeleton turns it into an agent -- and this exoskeleton doesn't have to be the same shape and capability for every domain." When AI Is the Defense AI-enabled attacks rose 89% in the past year, and the fastest eCrime breakout time has reached 27 seconds, according to CrowdStrike. Human-speed response isn't defense. It's documentation. "There are many applications in the world where you must have the ability to fine-tune, to post-train -- to create an AI that is super good at a particular domain," Huang said. "Nemotron was created for precisely that. Completely free. Incredibly fast. You have the ability to have an asymmetric advantage against whatever comes your way." With open Nemotron as the base, CrowdStrike's security teams post-trained on their own threat data without sending it to an outside provider, and customized the AI to their environment. That's not possible with a closed frontier model, and in security, the ability to inspect what's defending matters. Red vs. Blue NVIDIA announced its work testing the CrowdStrike SafeMind models and harnesses in a high-fidelity cyber agent environment running as a simulation of the NVIDIA network. The testing runs SafeMind in an offensive-defensive loop for adversarial coevolution. An offensive red-team agent finds the exploit, a blue-team defensive agent closes it and the findings become actionable detections to block attacks. The red-agent harness runs Recon, Assault and Compromise sub-agents executing attack paths inside the cyber agent environment. The blue-agent harness monitors via Falcon sensors, generates detection candidates, validates them and promotes them. CrowdStrike built the test environment with NVIDIA: a digital twin of NVIDIA's own accelerated computing infrastructure, validated against NVIDIA's real threat landscape. "The basic framework of SafeMind -- an adversarial model acting on a digital twin of the environment, with a defender model in a continuous cat-and-mouse loop, eventually learning how to secure itself -- this basic framework applies to robotics, edge computing, enterprise computing and just about everything," Huang said. CrowdStrike also announced Falcon IQ. NVIDIA Nemotron models help to power the agentic engine at the heart of Charlotte AI AgentWorks, CrowdStrike's no-code agent development platform where Falcon IQ runs. Falcon IQ uses more than 50 agents working together as a unified agentic workforce to automate the most time-intensive workflows in assessment, prioritization and remediation. Partners use Falcon IQ to deliver customized findings, recommendations and executive outputs to customers. Charlotte AI AgentWorks enables every Falcon user to build their own agentic security workforce. The Full Stack CrowdStrike has thousands of customer organizations generating trillions of daily security events. With NVIDIA's full-stack accelerated computing platform, the collaboration runs from the chips up through the models to the harnesses acting on what those models find. For Kurtz, that's the point. "The crowd in CrowdStrike," Kurtz added, "is the asymmetry that puts the defenders in a unique position to defeat the adversary."

CrowdStrike builds security frontier models with Nvidia and opens an AI lab

CrowdStrike builds security frontier models with Nvidia and opens an AI lab CrowdStrike Holdings Inc. today launched SafeMind, a family of artificial intelligence models and agent harnesses created with Nvidia Corp. and built for security work rather than general use. A research organization the company also unveiled today, the Cyber Superintelligence Lab, produced them. CrowdStrike separately extended its Falcon platform across Google Cloud's enterprise AI ecosystem, part of a run of announcements at its Fal.Con conference in Las Vegas this week. SafeMind launches with two models. Red Tempest is the offensive one, built to emulate AI-driven adversaries and run advanced attack scenarios against an environment. Blue Solano plays defense, applying the containment measures CrowdStrike responders use on live incidents. The harnesses run both in a closed loop that pits one model against the other so each improves, and they also drive frontier and open-source models from other providers. SafeMind will operate natively in the CrowdStrike Falcon platform, with standalone access to the models and harnesses handled through the Project QuiltWorks program the company started in April. CrowdStrike built the models on Nvidia's open Nemotron family and trained them on its own material. That includes Falcon sensor telemetry, threat intelligence and the event annotations Falcon Complete analysts attach to confirmed detections. CrowdStrike calls the sensor data the largest pureplay cyber dataset and edge install base in the industry. Fifteen years of incident response fieldwork went in as well. CoreWeave Inc. supplied cloud capacity for training and inference. "The future of cybersecurity won't be defined by AI that simply identifies threats, it will be defined by AI that defeats them," said George Kurtz, founder and chief executive of CrowdStrike. "SafeMind brings offensive and defensive models together in a system trained on CrowdStrike's unique cyber data. It finds weaknesses, strengthens protection, and gets smarter with every cycle, advancing our mission to stop breaches at machine speed." Measured against leading frontier models and open-source baselines, CrowdStrike said SafeMind posted a 29% higher detection rate, remediated six times faster end to end and cut detection and remediation costs by 99%. The release did not name the models it was tested against or describe the methodology behind the figures. Nvidia is the AI design partner on the work. Cyber defense will rank "among the most compute-intensive applications of AI," Nvidia founder and Chief Executive Jensen Huang said, describing the years ahead as a running contest between attackers scaling up with AI and defenders using it to widen detection and response. CoreWeave co-founder and Chief Executive Michael Intrator said few environments test what AI "can do in production, at scale" as hard as security does. The models come out of a research group CrowdStrike also announced today. Its Cyber Superintelligence Lab puts the company's AI researchers, offensive operators and incident responders under a single charter, and Bartley Richardson, chief AI and autonomous systems officer, runs it. The lab runs on the telemetry CrowdStrike collects from Falcon sensors deployed in customer environments, which report from endpoints, identity systems, cloud workloads, data stores and Falcon Next-Gen SIEM at trillions of events a day. Richardson called the models "the start of a new chapter for cyberdefense" and said CrowdStrike is the only company that owns the entire stack, from sensor to harness to model. CrowdStrike is pitching the models into a market where the strongest general-purpose models are available to both sides. "The irony is that the world's most powerful models from OpenAI and Anthropic were not built for defenders, but attackers can effectively utilize them to identify attack vectors," said Dave Vellante, co-founder and chief analyst at SiliconANGLE Media. "The Mythos moment and Hugging Face hack are milestone events in cybersecurity, like Stuxnet and SolarWinds before them. These events expose novel threats that general purpose frontier models weren't designed to defend. CrowdStrike, by partnering with Nvidia, is creating a purpose-built frontier model specifically designed for defenders. It reminds me of an AI security version of the Netflix Chaos Monkey." CrowdStrike separately extended its Falcon platform across Google Cloud's enterprise AI ecosystem, with four additions. Falcon Guardian, the AI detection and response product the company launched at the show, now runs through Google Agent Gateway, where it watches for prompt injection, data leakage and malicious activity in AI applications at runtime. Falcon MCP feeds CrowdStrike threat intelligence and detections into Gemini Enterprise workflows. Charlotte AI brings natural-language investigation and response into the same environment. Falcon Shield covers Google Cloud's Agent Registry, where security teams find and govern the agents running in their software-as-a-service estate. Daniel Bernard, chief business officer at CrowdStrike, said organizations "shouldn't have to choose between accelerating AI adoption and reducing risk." Google Cloud is separately hosting the Falcon platform on regional infrastructure, an arrangement announced Monday at the conference for customers that need their security stack in a specific location. Brian Goldstein, vice president of strategic AI and independent software vendors at Google Cloud, described enterprise AI as "a new operating layer for the enterprise." Two partner announcements landed alongside the CrowdStrike news at Fal.Con. Data resilience company Rubrik Inc. and CrowdStrike said they will run a full identity recovery workflow through Charlotte Agentic SOAR, tying CrowdStrike's Falcon Next-Gen Identity Security to Rubrik Identity Resilience. CrowdStrike detects and contains the activity. Rubrik then correlates the detection against identity logs and backup data, reverses malicious Active Directory changes, removes attacker files or triggers a full forest recovery. The companies said the sequence cuts recovery from days to hours. Anneka Gupta, chief product officer at Rubrik, said relying on human reaction time is "risky and obsolete" when a breach unfolds in milliseconds. Research from the company's Zero Labs unit found that 90% of information technology and security leaders rate identity-based attacks the single largest threat to their organizations. Fortanix Inc. is working a different part of the problem. The data security company said it will pair its Confidential AI product with Falcon so that AI workloads run inside hardware-isolated memory while CrowdStrike watches for attacks around them. Prompts, model weights, enterprise data and inference outputs stay encrypted in use under that arrangement, which puts them out of reach of cloud operators and privileged administrators as well as intruders. The CrowdStrike work follows an on-premises confidential AI platform Fortanix built with Nvidia, released last October for regulated industries. Securing AI takes more than blocking attacks, Chief Product Officer Anuj Jaiswal said, because the data and models have to be protected while they are running.

Frontier AI gap drives CrowdStrike SafeMind security models

Cybersecurity gets its own model family as defenders look to close the AI gap Frontier AI has reset the balance of power in security, and so far the advantage has run one way. Attackers can pick up general-purpose models at will, even though no one built them for defenders, pushing the industry toward purpose-built systems trained on security data rather than the open web. That shift is now taking shape as a partnership between CrowdStrike Holdings Inc. and Nvidia Corp, with autonomous red teaming making its debut alongside a defensive counterpart and the harness that runs them. The result is a model family aimed squarely at security operations, according to Daniel Bernard (pictured, right), chief business officer of CrowdStrike. "Frontier models have done a fantastic job bringing AI innovation to the market at large. It's really benefited the adversary," Bernard said. "It's time for the defenders to have something, and it's time for security to have its own model. It turned into a set of models, a model family, and that's where SafeMind was born." Bernard and Justin Boitano (left), vice president and general manager of enterprise computing at Nvidia Corp., spoke with theCUBE's Dave Vellante at Fal.Con, during an exclusive broadcast on theCUBE, SiliconANGLE Media's livestreaming studio. (* Disclosure below.) Frontier AI meets a purpose-built harness The offensive and defensive models are post-trained on Nemotron, Nvidia's open-weight family, then run against a digital twin of a customer environment. In evaluations against leading frontier and open-source models, SafeMind delivered a 29% higher detection rate, six times faster remediation and 99% lower cost, according to CrowdStrike's launch announcement. Nvidia has been a design partner and has applied the approach internally, Boitano noted. "The digital twin describes the environment of the actual world," Boitano said. "You run the red agent through the environment and you'll find different ways in to exfiltrate data. Then the blue agent will come in and write rules that would have detected or prevented the red attack agent from getting through. That iterative loop basically hardens the environment." Packaging follows the same logic, with the models landing natively in the Falcon platform and the harness sold separately for teams automating security operations, Bernard explained. That arrives alongside Falcon IQ, which productizes the company's partner-led assessment playbook for frontier AI risk. "Our job in the market is [to] calm everybody down, and the way we're going to calm everybody down is we're going to stop more breaches than we've ever stopped before," Bernard said. "There's no reason to fear the adversary. There's no reason to fear AI. You've got to make sure you have the right protection, the right systems, the right people, the right processes." Stay tuned for the complete video interview, part of SiliconANGLE's and theCUBE's coverage of the Fal.Con event. (* Disclosure: TheCUBE is a paid media partner for the Fal.Con event. Neither CrowdStrike Holdings Inc., the sponsor of theCUBE's event coverage, nor other sponsors have editorial control over content on theCUBE or SiliconANGLE.)

Autonomous red teaming debuts at CrowdStrike Fal.Con

Breakout time hits zero as CrowdStrike unveils autonomous red teaming: theCUBE's Fal.Con 2026 day one keynote analysis For years, security teams measured their odds by "breakout time," the minutes an attacker needs to move from initial foothold to lateral movement. That clock used to run in hours; at this week's CrowdStrike keynote, the number effectively hit zero. The industry's answer is autonomous red teaming: pitting one AI model against another in a closed loop, attacking and patching an environment before a real adversary gets the chance. CrowdStrike Holdings Inc. used its Fal.Con 2026 keynote in Las Vegas to introduce SafeMind, a pair of AI models, Red Tempest for offense and Blue Solano for defense, built with Nvidia Corp.'s Nemotron models out of a new Cyber Superintelligence Lab. Dave Vellante (pictured, right), co-founder and chief analyst at theCUBE Research, called it the strongest Fal.Con keynote he's seen in five years covering the event. "He talked about the pyramid of pain, where the nation states used to be at the top and now it's agents at the top, and they also flattened the pyramid," Vellante said. "The nation state, the agent state he called it, is a prompt." Vellante was joined by fellow analysts Rebecca Knight (center) and Krista Case (left), for a day one keynote analysis of the Fal.Con event, during an exclusive broadcast on theCUBE, SiliconANGLE Media's livestreaming studio. They discussed CrowdStrike's SafeMind launch and what autonomous red teaming means for defenders. How autonomous red teaming closes CrowdStrike's loop The two models work in a closed loop: Red Tempest, trained partly on 15 years of CrowdStrike incident-response data, probes a digital twin of a customer's environment inside Nvidia's simulation technology for attack paths; Blue Solano remediates what it finds, and the cycle repeats until none remain. SafeMind runs natively inside the Falcon platform, with standalone access offered through CrowdStrike's Project QuiltWorks program. "Every year at this conference, George steps up and says breakout time has gone from two minutes to 72 seconds, down to 30 seconds," Vellante said. "And now he's like, it's done. It's just runtime. There is no breakout time." Case called Kurtz's framing a wake-up call for the industry, even though attacks like it aren't yet happening at scale. Vellante agreed with the keynote's blunter point: attackers keep the edge because they only have to be right once, while defenders have to be right every time. "It's not that the defense can't win," Vellante said. "But that's an old saying: offense only has to win once." Here's the complete video interview, part of SiliconANGLE's and theCUBE's coverage of the Fal.Con event:

George Kurtz's 5 Boldest AI Statements At CrowdStrike Fal.Con 2026

The CrowdStrike co-founder and CEO used his Fal.Con keynote to discuss the unprecedented threat of hacking by autonomous agents -- and make the case for bringing frontier AI to cyber defense teams. Amid the unprecedented threat of hacking by autonomous agents, it's increasingly pivotal to bring frontier AI capabilities to cyber defense teams -- something CrowdStrike is now seeking to do for the first time in the industry, according to CrowdStrike co-founder and CEO George Kurtz. During his keynote at CrowdStrike's Fal.Con 2026 conference in Las Vegas Tuesday, Kurtz dissected the recent autonomous compromise of AI model platform Hugging Face by rogue OpenAI frontier models -- and concluded that most of the industry "drew the wrong lesson" from the incident. [Related: Jensen Huang: CrowdStrike Is Nvidia's 'No. 1 Cybersecurity Partner'] A more damaging outcome was only avoided because the OpenAI agents had been given a limited goal -- not because security tools stopped them, he said during the keynote. "The company was spared because of the agent's intent, not the defense," Kurtz said. "I think as an industry, we got lucky, because it wasn't really intent on damage." The reality, however, is that cyber defense teams need to be equipped with capabilities that can counter autonomous threats -- which will inevitably be leveraged by threat actors who place no such limitations on their agents, he said. Rather than nation-state hacking groups constituting the "apex predator" of the threat landscape, "this is really the rise of the 'agent state,'" Kurtz said. "Every [attacker is] now operating with nation-state capabilities." To better equip defenders in the era of AI-accelerated attacks, CrowdStrike on Tuesday unveiled its new SafeMind agentic system, which was created in collaboration with Nvidia. SafeMind provides autonomous offensive and defensive AI models that are capable of helping cyber defense to rapidly identify and close real-world security gaps, according to CrowdStrike. The SafeMind models work by continuously attacking and deploying protections within a digital replica of an organization's environment, the company said, and the system also features newly designed agent harnesses. SafeMind is ultimately the industry's "first complete agentic system for cybersecurity, including the first frontier models [that are] purpose-built for defenders," Kurtz said during the keynote session Tuesday. For Kurtz, the fundamental lesson from the Hugging Face incident is that the agents that carried out the compromise utilized frontier AI, while the defenders didn't. "That changes now," he said. "[CrowdStrike is] giving the power back to the defender. Adversaries have frontier capabilities. Now you do too." What follows are more of Kurtz's boldest AI statements at Fal.Con 2026. The 'New Apex Predator' In Cyberthreats "For years, we ranked our adversaries in [a] pyramid. ... Hacktivists were on the bottom, e-crime in the middle, nation-state on the top. ... The top really represented the apex predator -- the greatest capabilities, the most sophistication. The bottom [had] many more, least sophisticated. The pyramid existed for exactly one reason -- the offensive capability was scarce. It took a nation to fund the talent, the tooling, the infrastructure, the patience. But the scarcity is over. ... It used to be capabilities that separated the tiers. The apex predators were at the top -- time, resources and sophistication. But the new apex predator is the agent. ... What I mean by that is, this is really the rise of the 'agent state.' We hear about nation-state -- it's now the agent state. Because when apex capabilities become a prompt, guess what happens? There are no tiers at all. Every [attacker is] now operating with nation-state capabilities. The pyramid has just been obliterated." Cyberattacks At 'Inference Speed' "For years, I stood on a stage like this one and tracked this number called breakout [time] -- 62, 48, 29 [minutes]. The fastest one that we saw last year was 27 [minutes], and we called that machine speed. We were wrong. I was wrong. This was human speed with better tools, and breakout time is over. I don't know what we're going to do for next year's report, but we're going to have to come out with another metric -- because it's gone. But this is what I want you all to understand: Attacks now happen at inference speed. Think about that. Attacks are happening at inference speed. And when an attacker has inference speed, there is no breakout time. There's actually no time at all to deal with these attacks." Intent, Not Security, Stopped The Hugging Face Attack "The [Hugging Face] intrusion succeeded. Credentials were stolen. Forged identities and tokens stolen. They held admin access across multiple internal clusters. But this is an important point -- intent stopped the attack. What did they want to do? Those agents wanted to pass the test -- goal-seeking in a way that I think we've never seen before in cybersecurity. It's really powerful and fascinating. The agent was cheating, but it wasn't trying to do damage. So let me make it clear: The company was spared because of the agent's intent, not the defense. ... Security saw it, generated a lot of information. But it failed to raise enough alarms that the administrators were paged. It cost them time. They saw some activity and didn't know how to put it all together. By the way, this is not a knock on anyone. You have a sophisticated company with incredible people, but it's a lot of data they have to go through. And these agents, again, are acting in an autonomous fashion ... This is not a hypothetical threat. This is something that happened. And again, I think as an industry, we got lucky, because it wasn't really intent on damage." Frontier AI For Everyone-Except The Defenders "The best AI on earth was built for everyone. Remember what happened in Hugging Face. They turned to AI for the forensics, and the model refused. The guardrails that stopped the model from writing exploits, stopped one from taking it apart. In the moment of crisis, the best AI on earth was really built for everyone, except for the folks in the audience [at Fal.Con] -- except for the defenders. Think about that. The best AI on the planet was built for everyone but the defenders. General-purpose models are general-purpose. However, as defenders, we need models that are built for defenders -- that understand security, that have been trained on some of the largest datasets in the world." The Real Lesson Of The Hugging Face Attack "Most people drew the wrong lesson from Hugging Face. Some saw [the] autonomous agents act in a way that we haven't seen before. Some saw the swarm. Some read about the message boards. Some saw about [agents] covering up their tracks. And some saw the agents work as a collective group for the good of the entire group. But the real gap that I saw was that the attackers had frontier AI, and the defenders didn't. And that changes now ... [CrowdStrike is] giving the power back to the defender. Adversaries have frontier capabilities. Now you do too."

Jensen Huang: CrowdStrike Is Nvidia's 'No. 1 Cybersecurity Partner'

During an on-stage appearance Tuesday with CrowdStrike CEO George Kurtz at Fal.Con 2026, the Nvidia CEO praised the chip giant's partnership with the cybersecurity vendor and discussed the launch of new CrowdStrike frontier AI models created in collaboration with Nvidia. A set of newly unveiled CrowdStrike frontier AI models created in collaboration with Nvidia could make a massive difference in defending against intensifying cyberthreats powered by AI, Nvidia co-founder and CEO Jensen Huang said Tuesday. During an on-stage appearance Tuesday with CrowdStrike CEO George Kurtz at the vendor's Fal.Con 2026 conference, Huang said the launch of CrowdStrike's new SafeMind cybersecurity models and harnesses was a "proud moment" for him and the chipmaking giant. [Related: 5 Big Takeaways From CrowdStrike's 2026 Partner Summit] "It was great to see it come together," Huang said during the conference, which is being held this week in Las Vegas. "[It's an] incredibly visionary product from CrowdStrike." Without a doubt, "you are my No. 1 cybersecurity partner [and] my No. 1 cybersecurity provider," Huang told Kurtz, which was met by applause from Fal.Con attendees. "And so it was essential that CrowdStrike has access to the best of Nvidia -- and that we put our best minds together to create something that could be helpful to me [and] to be helpful to the world." The SafeMind agentic system, announced Tuesday, provides autonomous offensive and defensive AI models that are capable of helping cyber defense to rapidly identify and close real-world security gaps, according to CrowdStrike. The SafeMind models work by continuously attacking and deploying protections within a digital replica of an organization's environment, the company said, and the system also features newly designed agent harnesses. SafeMind is ultimately the industry's "first complete agentic system for cybersecurity, including the first frontier models [that are] purpose-built for defenders," Kurtz said. "This isn't a copilot that's baked into someone else's intelligence. It's not a chatbot with a security skin. It is a frontier-class model built and trained by CrowdStrike -- on our data -- in partnership with Nvidia." SafeMind was created using Nvidia's Nemotron open models and included intensive collaboration between teams at Nvidia and CrowdStrike over a number of months, Kurtz said. Frequently, cybersecurity is seen as an asymmetrical battle, where "you hear about the attackers having the advantage and having capabilities, and defenders are step behind," Kurtz said during the discussion with Huang. "But the thing that I love about security is that companies can come together in a community to actually solve a problem." With the creation of SafeMind, "in a number of months, we got it done together with just tremendous work from both teams and support," Kurtz said. "And I think that's what makes the cybersecurity community so special, is that we can come together and get stuff done like this." Huang said there's no question that the "cybersecurity community, working transparently, working together cohesively, that is the asymmetric advantage the good guys have" over threat actors. That aspect of cybersecurity is "something that most people underestimate. And so we're a case in point," Huang said, referencing the Nvidia-CrowdStrike partnership. "By working together transparently, you now are an AI company. You have a research lab. Our AI researchers love working with yours." Ultimately, SafeMind is a "completely brilliant" idea, the Nvidia CEO said. From the details shared on SafeMind so far, it is clear that providing these types of frontier cybersecurity models -- which can continuously test an organization's environment and find gaps in close to real time -- is something that will be hugely appealing to customers, according to Joseph Lentine, director of security partners at Somerset, N.J.-based SHI, No. 12 on CRN's Solution Provider 500 for 2026. Meanwhile, Huang's characterization of the Nvidia-CrowdStrike partnership, and the fact that CrowdStrike is considered the foremost security vendor used by Nvidia, could also drive even more interest and confidence among customers in CrowdStrike's platform, Lentine said. "It is definitely reassuring to hear Jensen talk about their partnership" in those terms, he said, noting that SHI is also a major Nvidia partner. All in all, the remarks speak volumes about CrowdStrike's efficacy, Lentine noted, given that Nvidia "is definitely at the forefront of a lot of the market in general" amid the GPU-powered AI boom. SafeMind is slated to operate within the CrowdStrike Falcon platform, while access to standalone models and harnesses will also be provided through CrowdStrike's Project QuiltWorks frontier AI initiative, the company said. Partners have certainly shown interest in using frontier models directly, in addition to leveraging the models through Falcon, Kurtz said. "We have worked with a lot of partners in advance of this, and there is an interest in getting access to the models directly," he said. "The models themselves, the harness, will be in the [Falcon] platform -- and then obviously there would be a lot more things that you could do with it if you're consuming the models directly."

Crowdstrike Holdings, Inc. and Nvidia Corporation Launch Frontier Models for Cybersecurity

CrowdStrike Holdings, Inc. introduced CrowdStrike SafeMind, a family of purpose-built security models and harnesses from the CrowdStrikeCyber Superintelligence Lab. CrowdStrike builds the models using NVIDIA Nemotron open models in collaboration with NVIDIA Corporation, its AI design partner. The program also includes CoreWeave?s AI Cloud for training and inference. SafeMind?s harnesses operationalize both the red and blue CrowdStrike models in a closed-loop system that continuously pits the models against each other to improve. The harnesses also work with frontier and open-source models, maximizing user choice and model preference while maintaining cost control.