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CrowdStrike and Nvidia are launching a new AI system built specifically for cyber defense. The SafeMind system pairs an offensive model that finds attack paths with a defensive model that closes them, running in a continuous loop CrowdStrike $CRWD -5.42% introduced SafeMind on Tuesday, a family of purpose-built AI security models developed with Nvidia $NVDA +3.21%, designed to find and close attack paths at machine speed. The system operates natively in CrowdStrike's Falcon platform. SafeMind consists of two models: Red Tempest, an offensive model built to emulate AI adversaries, and Blue Solano, a defensive model designed to protect enterprise assets. The two are connected by software harnesses that run them in a closed loop, continuously pitting them against each other to improve, the company said. CrowdStrike built the models by fine-tuning Nvidia's open Nemotron models using its own threat intelligence, sensor telemetry, and fifteen years of incident response data, the company said. Nvidia's Nemotron 3 Ultra orchestrates the defensive agent harness, while a fine-tuned Nemotron 3 Super powers a rule-generation sub-agent, according to Nvidia's blog. The fine-tuning process took roughly 45 days and about 71 Nvidia B200 graphics processing units, according to the Wall Street Journal. CrowdStrike internal evaluations showed SafeMind delivered a 29% higher detection rate, remediation six times faster, and 99% lower cost on detection and remediation compared to leading frontier models, the company said. Nvidia Chief Executive Jensen Huang and CrowdStrike Chief Executive George Kurtz announced the system together at CrowdStrike's Fal.Con 2026 conference in Las Vegas on Tuesday before a crowd of roughly 10,000 security professionals. "The real gap that I saw was that the attackers had frontier AI, and the defenders didn't," Kurtz said at the event. "And that changes now." As part of the collaboration, Nvidia tested SafeMind inside a digital twin of its own internal technology environment. Justin Boitano, Nvidia's vice president of enterprise AI, said the red team agent combed through the environment, identified exploitable attack paths, and the blue team agent then applied safeguards - a process repeated until all attack paths were blocked. Keeping sensitive threat data out of closed third-party systems was a key reason CrowdStrike opted for an open model, according to Bartley Richardson, the company's chief AI and autonomous systems officer, who made the remarks to the Wall Street Journal. The launch arrives as AI-enabled attacks have grown sharply. CrowdStrike said AI-enabled attacks rose 89% in the past year and that the fastest recorded criminal breakout time has reached 27 seconds. The announcements came days after CrowdStrike stock and Palo Alto Networks $PANW -9.28% shares climbed to record highs following the Black Hat security conference, where analysts described AI agents as the foremost emerging attack vector and said demand for AI-driven defensive tools was dominating industry conversations. CoreWeave is providing cloud infrastructure for SafeMind's training and inference, CrowdStrike said. Daily Brief The essential business news, delivered fresh every morning. Join 500,000+ readers who start their day with Quartz.

Nvidia reported second-quarter adjusted earnings of $2.22 per share on revenue of $96.2 billion, beating estimates. Data Centre revenue surged 117% year-over-year to $89 billion, with ACIE segment revenue — including neocloud — jumping 138% to $40 billion. Nvidia expects neocloud partner capacity to reach eight gigawatts by end of 2026, up from three gigawatts in 2025. CFO Colette Kress said demand is accelerating despite supply constraints limiting expected growth to 70% next year. Following the results, CoreWeave, Nebius and IREN shares rose 4%, 6% and 3% respectively in overnight trading. However, Palo Alto Networks CEO Nikesh Arora warned that neocloud valuations could collapse once supply and demand normalise, stating that equity funding for capital expenditure "only works in a euphoric market".

CoreWeave's AI Cloud Integration boosts Rescale's engineering Platform - What this means for next-gen product development. 25 August 2026, 8:12 AM CoreWeave's cloud now powers Rescale's advanced engineering workloads. CoreWeave (NASDAQ:CRWV) and Rescale just teamed up, signaling a significant upgrade for companies relying on high-demand simulations and AI-heavy development. This partnership enables Rescale's digital engineering users to leverage CoreWeave's purpose-built AI cloud - tailored for industries ranging from aerospace to life sciences - unlocking faster and more efficient product innovation. Integration strengthens Rescale's Platform with ai-optimized infrastructure. Instead of traditional approaches that can bottleneck under complex simulations, Rescale now integrates with CoreWeave Kubernetes Service (CKS). That means engineering teams gain seamless, scalable access to containers, high-performance networking, and storage - no more wrestling with infrastructure. For users, that could translate into faster research cycles and the ability to run sophisticated AI models and distributed simulations at scale. CoreWeave's cloud performance receives top industry ratings. What sets CoreWeave apart in the increasingly crowded AI cloud space? It consistently ranks at the top of industry benchmarks - achieving platinum ratings in both SemiAnalysis ClusterMAX(TM) 1.0 and 2.0. These results reflect not just industry-leading speed and efficiency but also reliability at scale, making CoreWeave a trusted backbone for AI labs, startups, and major enterprises alike. | Key Feature | Benefit for Users | | Full-Stack AI Cloud Platform | Run experiments, training, and large-scale simulation across the entire AI lifecycle | | CKS Integration | Orchestrate containerized workloads with minimal friction, boosting agility | | Top ClusterMAX(TM) Benchmarking | Industry-leading performance and reliability in AI and HPC workloads | This collaboration targets the future of ai-driven engineering. With today's R&D shifting towards AI physics and autonomous engineering workflows, compute requirements are growing exponentially. Rescale's focus on integrating CoreWeave's AI muscle is a clear strategic move as customers demand infrastructure that can keep up with next-generation challenges. For investors and industry watchers, this deal positions CoreWeave as more than just another cloud provider - it's an essential partner in pushing the frontiers of digital engineering and AI product development. Key takeaway: Rescale and CoreWeave set new standards in cloud performance. CoreWeave's collaboration with Rescale could make complex, resource-hungry simulations accessible to a broader range of engineering teams. For anyone following the AI infrastructure space or the future pace of product innovation, this move is a signal worth noting. As always, how companies leverage this power will define who leads the next wave of technological breakthroughs. Contact Information: If you have feedback or concerns about the content, please feel free to reach out to Market Chameleon via email at [email protected]. About the Publisher - Marketchameleon.com: Marketchameleon is a comprehensive financial research and analysis website specializing in stock and options markets. Market Chameleon leverage extensive data, models, and analytics to provide valuable insights into these markets. Its primary goal is to assist traders in identifying potential market developments and assessing potential risks and rewards. NOTE: Stock and option trading involves risk that may not be suitable for all investors. Examples contained within this report are simulated and may have limitations. Average returns and occurrences are calculated from snapshots of market mid-point prices and were not actually executed, so they do not reflect actual trades, fees, or execution costs. This report is for informational purposes only, and is not intended to be a recommendation to buy or sell any security. Neither Market Chameleon nor any other party makes warranties regarding results from its usage. Past performance does not guarantee future results. Please consult a financial advisor before executing any trades. You can read more about option risks and characteristics at theocc.com. The information is provided for informational purposes only and should not be construed as investment advice. All stock price information is provided and transmitted as received from independent third-party data sources. The Information should only be used as a starting point for doing additional independent research in order to allow you to form your own opinion regarding investments and trading strategies. The Company does not guarantee the accuracy, completeness or timeliness of the Information. Disclosure: This article was generated with the assistance of AI