---
格式版本: 2
标题: "NVIDIA and CrowdStrike Strengthen Agentic Cybersecurity Frontier"
原文链接: "https://blogs.nvidia.com/blog/nvidia-crowdstrike-fal-con-2026/"
发布日期: "2026-09-01"
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发布时间校准时间: "2026-09-02T18:45:47+08:00"
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发现时间: "2026-09-02T18:45:20+08:00"
入库时间: "2026-09-02T10:45:47.192Z"
来源平台: "NVIDIA Newsroom 搜索"
搜索渠道: "source_template"
搜索词: "https://nvidianews.nvidia.com/search?q=NVIDIA&year=&c=21924"
匹配关键词:
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相关厂家:
  - "NVIDIA"
相关专家:
  []
内容类型: "网页"
抓取工具: "Free Fetch + Defuddle"
清洗工具: "Defuddle Markdown + Defuddle/Readability 正文提取"
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AI优质: "否"
AI打分: 52
AI分档: "非优质"
AI质检状态: "不通过"
AI打分理由: "正文主线是NVIDIA与CrowdStrike发布SafeMind、Falcon IQ等智能体网络安全模型与应用，新增Nemotron 3 Ultra/Super分工、红蓝智能体闭环、50多个协作智能体及原生集成Falcon平台等官方可核验事实。当前页面是NVIDIA官方完整报道，固定知识库未发现同事件记录，但未命中不能证明首次发布。其技术指标和商业动作均面向网络安全模型、智能体工作流与应用软件，没有新的AI机架架构、互连、供电、液冷、RAS或规模部署事实，命中“应用与模型效率”强否决项，最高54分，不适合进入超节点业务情报库。"
AI质检模型: "gpt-5.6-sol"
AI质检时间: "2026-09-02T18:45:58+08:00"
AI主题相关性: 1
AI来源权威性: 15
AI新颖性: 16
AI技术细节: 6
AI商业部署信号: 4
AI完整性: 10
AI评分提示词版本: "v17-精简生产版"
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AI评分知识库版本: "knowledge_base_v1-20260819+runtime.81"
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AI评分知识库检索词: "[\"NVIDIA\",\"RAS\",\"Intel\",\"CEO\",\"IQ\",\"AGI\",\"AI-enabled\"]"
AI评分知识库命中: "[{\"id\":\"july-correct-0081\",\"title\":\"AAI 2026: 6th Gen AMD EPYC Server CPUs Power the Agentic Data Center\",\"sourceType\":\"labeled_article\",\"time\":\"2026-07\",\"matchedTerms\":[\"NVIDIA\",\"RAS\",\"Intel\",\"IQ\",\"AGI\"],\"rank\":-13.523443438955525},{\"id\":\"july-correct-0034\",\"title\":\"AMD Fires Back at Nvidia with Helios AI System, Epyc CPUs\",\"sourceType\":\"labeled_article\",\"time\":\"2026-07\",\"matchedTerms\":[\"NVIDIA\",\"RAS\",\"Intel\",\"CEO\",\"AGI\"],\"rank\":-11.914891337629738},{\"id\":\"july-correct-0026\",\"title\":\"The Rackscale AI System Roadmaps That AMD Is Using To Chase Money\",\"sourceType\":\"labeled_article\",\"time\":\"2026-07\",\"matchedTerms\":[\"NVIDIA\",\"RAS\",\"Intel\",\"IQ\",\"AGI\"],\"rank\":-7.190251844682656},{\"id\":\"runtime-e865d32689ec8f5f85256de2\",\"title\":\"英特尔披露AI推理GPU技术细节：显存最高480GB，不用HBM - 智东西\",\"sourceType\":\"ai_excellent_article\",\"time\":\"\",\"matchedTerms\":[\"NVIDIA\",\"RAS\"],\"rank\":-6.2027395654286055},{\"id\":\"historical-may-024\",\"title\":\"OpenAI、Microsoft等围绕MRC协议构建更大规模AI以太网训练网络\",\"sourceType\":\"curated_item\",\"time\":\"2026-05\",\"matchedTerms\":[\"NVIDIA\",\"Intel\"],\"rank\":-6.193836601759722}]"
AI摘要: "NVIDIA与CrowdStrike在Fal.Con 2026联合推出代理式网络安全系统SafeMind，基于NVIDIA Nemotron开源模型与CrowdStrike威胁数据训练，通过攻防智能持续对抗加固防护。"
AI摘要模型: "ali-deepseek-v4-flash"
AI摘要时间: "2026-09-02T17:13:34.286Z"
采集批次: "2026年9月2日18点28分48秒"
采集批次ID: "20260902-182848-894"
去重键: "https://blogs.nvidia.com/blog/nvidia-crowdstrike-fal-con-2026"
---

“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](https://www.crowdstrike.com/en-us/press-releases/crowdstrike-launches-frontier-models-for-cybersecurity-with-nvidia/), 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](https://www.nvidia.com/en-us/ai-data-science/foundation-models/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](https://www.crowdstrike.com/en-us/global-threat-report/). 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](https://developer.nvidia.com/blog/building-an-adaptive-agentic-cybersecurity-system-with-nvidia-nemotron/) 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](https://www.crowdstrike.com/en-us/press-releases/crowdstrike-falcon-iq-operationalizes-project-quiltworks-at-machine-speed/). 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.”