Todays News

Businesses using NetApp AIPod can accelerate AI agents and speed up retrieval of relevant information SAN JOSE, Calif.--(BUSINESS WIRE)--NetApp® (NASDAQ: NTAP), the intelligent data infrastructure company, today announced that it is working with NVIDIA to support the NVIDIA AI Data Platform reference design in the NetApp AIPod solution to accelerate enterprise adoption of agentic AI. Powered by the robust and mature data management capabilities of NetApp ONTAP®, NetApp AIPod deployments built on the NVIDIA AI Data Platform will help businesses build secure, governed, and scalable AI data pipelines for retrieval-augmented generation (RAG) and inferencing, enabling organizations to harness the full potential of AI innovation. As businesses invest in AI to solve complex business challenges, they need intelligent data infrastructure that can remove the data silos that slow technical innovation. The most recent NetApp Data Complexity report found that 79 percent of tech and business leaders agree that unifying their data estates is critical for achieving top AI outcomes in 2025. As a NVIDIA-Certified Storage partner leveraging the NVIDIA AI Data Platform, NetApp gives NetApp AIPod users data infrastructure with built-in intelligence. NetApp gives customers confidence that they have the enterprise data management capabilities and scalable multi-tenancy needed to eliminate data siloes so that they can develop and operate high-performance AI factories and deploy agentic AI to solve real-world business problems. “A unified and comprehensive understanding of business data is the vehicle that will help companies drive competitive advantage in the era of intelligence, and AI inferencing is the key,” said Sandeep Singh, Senior Vice President and General Manager of Enterprise Storage at NetApp. “We have always believed that a unified approach to data storage is essential for businesses to get the most out of their data. The rise of agentic AI has only reinforced that truly unified data storage goes beyond just multi-protocol storage. Businesses need to eliminate silos throughout their entire IT environment, whether on-premises and in the cloud, and across every business function, and we are working with NVIDIA to deliver connected storage for the unique demands of AI.” The NetApp AIPod solution built on the NVIDIA AI Data Platform incorporates NVIDIA accelerated computing to run NVIDIA NeMo Retriever microservices and connects these nodes to scalable storage. Using this reference design in the NetApp AIPod solution brings intelligence to enterprise data so enterprises can scan, index, classify and retrieve large stores of private and public documents in real time. This augments AI agents as they reason and plan to solve complex, multistep problems, helping enterprises turn data into knowledge and boost agentic AI accuracy across many use cases. “Agentic AI enables businesses to solve complex problems with superhuman efficiency and accuracy, but only as long as agents and reasoning models have fast access to high-quality data,” said Rob Davis, Vice President of Storage Technology at NVIDIA. “The NVIDIA AI Data Platform reference design and NetApp’s high-powered storage and mature data management capabilities bring AI directly to business data and drive unprecedented productivity.” The NVIDIA AI Data Platform aligns with NetApp’s vision for advanced data management capabilities to accelerate AI pipelines by leveraging continuously updated metadata and vectorization to enable queries to produce more timely, relevant and accurate results. Additional Resources AIPod: Delivering the Promise NetApp HPC Solutions: AI Performance on High Generative AI Solutions NetApp Storage Now Validated for NVIDIA DGX SuperPOD, NVIDIA Cloud Partners, and NVIDIA-Certified Systems NetApp Fuels Future of Agentic AI Reasoning Solutions with NVIDIA AI Data Platform About NetApp NetApp is the intelligent data infrastructure company, combining unified data storage, integrated data, operational and workload services to turn a world of disruption into opportunity for every customer. NetApp creates silo-free infrastructure, harnessing observability and AI to enable the industry’s best data management. As the only enterprise-grade storage service natively embedded in the world’s biggest clouds, our data storage delivers seamless flexibility. In addition, our data services create a data advantage through superior cyber resilience, governance, and application agility. Our operational and workload services provide continuous optimization of performance and efficiency for infrastructure and workloads through observability and AI. No matter the data type, workload, or environment, with NetApp you can transform your data infrastructure to realize your business possibilities. Learn more at www.netapp.com or follow us on X, LinkedIn, Facebook, and Instagram. NETAPP, the NETAPP logo, and the marks listed at www.netapp.com/TM are trademarks of NetApp, Inc. Other company and product names may be trademarks of their respective owners. Contacts Media Contact:Kenya Hayes NetApp kenya.hayes@netapp.com Investor Contact:Kris Newton NetApp kris.newton@netapp.com

NVIDIA Enterprise AI Factory validated design based on NVIDIA RTX PRO Servers and NVIDIA B200 Blackwell systems running on Red Hat AI fuel the future of agentic AI systems across the hybrid cloud BOSTON – RED HAT SUMMIT--(BUSINESS WIRE)--Red Hat, the world's leading provider of open source solutions, today announced its integration with the newly announced NVIDIA Enterprise AI Factory validated design, helping to power a new wave of agentic AI innovation. This work showcases how Red Hat AI, including Red Hat OpenShift AI, provides a critical pathway and proving ground for dynamic AI disruption, such as teams of digital AI agents. As enterprises move beyond initial AI experimentation to practical deployments, they require flexible, consistent and performant software foundations capable of working across diverse AI models, architectures and environments. Red Hat AI provides this foundation, bolstered by collaborations with industry leaders like NVIDIA, to help navigate the complexities of bringing intelligent workloads from experimentation to production at scale. Red Hat will enable NVIDIA Blackwell architectures across Red Hat AI and the hybrid cloud. A fully verified and performance-tested reference architecture for NVIDIA Enterprise AI Factory has been developed using Red Hat OpenShift AI, further demonstrating the power and scale that Red Hat AI brings to the forthcoming demand for AI agents at scale. Red Hat OpenShift AI provides a consistent platform on which organizations can more effectively and reliably deploy and manage AI agents at scale, using vLLM-based inference capabilities and enhanced observability and monitoring functionality. Using Red Hat OpenShift AI, with NVIDIA NIM microservices accessible through the application catalog, the NVIDIA Enterprise AI Factory reference architecture enables organizations to more easily build a fully validated AI software stack and operate on-premises AI factories with servers built with NVIDIA RTX PRO Servers and NVIDIA Blackwell B200 systems. Red Hat’s approach to enterprise AI is built on the power of open source, the flexibility of the open hybrid cloud and a strong partner ecosystem. By collaborating with a wide array of leaders across the AI stack, from hardware providers to service integrators, Red Hat enables customers to build comprehensive AI solutions that meet business-specific needs. This ecosystem approach, showcased by collaborations and support for innovations like NVIDIA Enterprise AI Factory validated design, extends the value of Red Hat AI and its ability to meet customers where they are, both on the hybrid cloud and in their AI journey. Red Hat Summit Join the Red Hat Summit keynotes to hear the latest from Red Hat executives, customers and partners: Modernized infrastructure meets enterprise-ready AI — Tuesday, May 20, 8-10 a.m. EDT (YouTube) Hybrid cloud evolves to deliver enterprise innovation — Wednesday, May 21, 8-9:30 a.m. EDT (YouTube) Supporting Quotes Chris Wright, chief technology officer and senior vice president, global engineering, Red Hat “AI agents represent the near-term future of enterprise AI, where fast-moving, independent models can speed through any number of tasks to free organizations for higher level innovation. Red Hat OpenShift AI is an ideal platform to run these workloads delivered by NVIDIA Enterprise AI Factory validated designs, offering the scale, flexibility and power necessary to deliver product-ready generative AI across the hybrid cloud.” Justin Boitano, vice president, Enterprise AI, NVIDIA “NVIDIA and Red Hat are pioneering the future of enterprise AI by integrating Red Hat OpenShift AI with the NVIDIA Enterprise AI Factory validated design. Together, we’re creating a more seamless, full-stack platform that IT can use as the foundation for transforming business data into actionable agentic AI intelligence.” Additional Resources Learn more about Red Hat AI Learn more about Red Hat OpenShift AI Learn more about Red Hat Enterprise Linux AI Learn more about NVIDIA Enterprise AI Factory Learn more about Red Hat Summit See all of Red Hat’s announcements this week in the Red Hat Summit newsroom Follow @RedHatSummit or #RHSummit on X for event-specific updates Connect with Red Hat Learn more about Red Hat Get more news in the Red Hat newsroom Read the Red Hat blog Follow Red Hat on X Follow Red Hat on Instagram Follow Red Hat on LinkedIn Watch Red Hat videos on YouTube About Red Hat Red Hat is the open hybrid cloud technology leader, delivering a trusted, consistent and comprehensive foundation for transformative IT innovation and AI applications. Its portfolio of cloud, developer, AI, Linux, automation and application platform technologies enables any application, anywhere—from the datacenter to the edge. As the world's leading provider of enterprise open source software solutions, Red Hat invests in open ecosystems and communities to solve tomorrow's IT challenges. Collaborating with partners and customers, Red Hat helps them build, connect, automate, secure and manage their IT environments, supported by consulting services and award-winning training and certification offerings. Forward-Looking Statements Except for the historical information and discussions contained herein, statements contained in this press release may constitute forward-looking statements within the meaning of the Private Securities Litigation Reform Act of 1995. Forward-looking statements are based on the company’s current assumptions regarding future business and financial performance. These statements involve a number of risks, uncertainties and other factors that could cause actual results to differ materially. Any forward-looking statement in this press release speaks only as of the date on which it is made. Except as required by law, the company assumes no obligation to update or revise any forward-looking statements. Red Hat, Red Hat Enterprise Linux, the Red Hat logo, and OpenShift are trademarks or registered trademarks of Red Hat, Inc. or its subsidiaries in the U.S. and other countries. Contacts Media Contact:Jessie Beach Red Hat jbeach@redhat.com919-602-2836

Dynatrace to provide full-stack observability for NVIDIA Blackwell reference design unveiled at Computex 2025 WALTHAM, Mass.--(BUSINESS WIRE)--Dynatrace®, the leading AI-powered observability platform, today announced that it is integrating its full-stack, AI and LLM Observability solution into the newly unveiled NVIDIA Enterprise AI Factory validated design. This enables enterprises using NVIDIA’s validated design for NVIDIA RTX PRO 6000 Blackwell servers and other NVIDIA Blackwell infrastructure to deploy their own on-premises AI factory with real-time observability and AI-driven insights delivered by the Dynatrace platform. Uniquely equipped with a powerful AI engine, Davis® AI — which delivers real-time automated anomaly detection and root cause analysis alongside recommended remediation actions powered by Davis CoPilot® — the Dynatrace platform is an ideal solution for monitoring and managing AI and agentic AI deployments. Enterprises deploying the NVIDIA Enterprise AI Factory validated design will be able to leverage Dynatrace’s AI-powered observability platform to automatically detect customer-facing issues using topology, transaction, and code-level information to precisely pinpoint the root cause of problems at speed, helping IT teams maintain performance, reliability and security across AI workflows. The NVIDIA Enterprise AI Factory full-stack validated design offers guidance for enterprises to build and deploy their own on-premises AI factory. It’s designed to support a wide range of AI-enabled enterprise applications, agentic and physical AI workflows, autonomous decision-making, and real-time data analysis. It features expertly designed NVIDIA Blackwell accelerated infrastructure tailored to enterprise needs, integrating specialized AI software to ensure seamless operation and robust performance. And it’s validated by NVIDIA IT, tapping into their engineering know-how and partner ecosystem to help enterprises achieve time-to-value and mitigate the risks of AI deployment. This integration addresses increasing demand for on-premises AI infrastructure in regulated sectors such as healthcare, finance, and government and where system reliability and compliance are paramount. By incorporating Dynatrace into NVIDIA Enterprise AI Factory validated design, customers using NVIDIA Blackwell systems can benefit from real-time, AI-powered data insights for the seamless operationalization of AI workflows. “Full-stack AI and LLM Observability is fundamental to running mission-critical infrastructure at scale,” said Alois Reitbauer, Chief Technology Strategist at Dynatrace. “Our collaboration with NVIDIA enables us to bring advanced observability to the heart of enterprise agentic AI deployments so they’re implemented optimally and securely, add business value and lend themselves to higher degrees of automation. Whether organizations are training cutting-edge models, orchestrating physical AI systems, developing agentic AI capabilities or analyzing real-time data streams, Dynatrace allows them to respond faster, operate with confidence, and effectively understand and optimize their AI deployments.” “As AI adoption accelerates, enterprises need to monitor a growing ecosystem of applications and deployments across their infrastructure,” said John Fanelli, vice president, Enterprise Software at NVIDIA. “Dynatrace’s integration with the NVIDIA Enterprise AI Factory reference design offers advanced observability that lets businesses operate NVIDIA Blackwell-based AI systems with performance transparency and operational intelligence from day one.” About Dynatrace Dynatrace is advancing observability for today’s digital businesses, helping to transform the complexity of modern digital ecosystems into powerful business assets. By leveraging AI-powered insights, Dynatrace enables organizations to analyze, automate, and innovate faster to drive their business forward. To learn more about how Dynatrace can help your business, visit www.dynatrace.com, visit our blog and follow us on LinkedIn and X @dynatrace. Curious to see how you can simplify your cloud and maximize the impact of your digital teams? Let us show you. Sign up for a 15-day Dynatrace trial. ©2025 Dynatrace LLC. Dynatrace, Davis, Davis CoPilot, and the Dynatrace logo are trademarks of the Dynatrace, Inc. group of companies. All other trademarks are the property of their respective owners. Cautionary Language Concerning Forward-Looking Statements This press release includes certain “forward-looking statements” within the meaning of the Private Securities Litigation Reform Act of 1995, including statements regarding Dynatrace’s and NVIDIA’s respective capabilities and the expected benefits to organizations from the collaboration between Dynatrace and NVIDIA, and from using Dynatrace and NVIDIA. These forward-looking statements include all statements that are not historical facts and statements identified by words such as “will,” “expects,” “anticipates,” “intends,” “plans,” “believes,” “seeks,” “estimates,” and words of similar meaning. These forward-looking statements reflect our current views about our plans, intentions, expectations, strategies, and prospects, which are based on the information currently available to us and on assumptions we have made. Although we believe that our plans, intentions, expectations, strategies, and prospects as reflected in or suggested by those forward-looking statements are reasonable, we can give no assurance that the plans, intentions, expectations, or strategies will be attained or achieved. Actual results may differ materially from those described in the forward-looking statements and will be affected by a variety of risks and factors that are beyond our control, including the risks set forth under the caption “Risk Factors” in our Annual Report on Form 10-K, subsequent Quarterly Reports on Form 10-Q, and our other SEC filings. We assume no obligation to update any forward-looking statements contained in this document as a result of new information, future events, or otherwise. Contacts Investor Contact: Noelle Faris VP, Investor Relations Noelle.Faris@dynatrace.com Media Relations: Dynatrace PR Team pr-team@dynatrace.com

New Full-Stack, Validated Design Aims to Accelerate AI/ML Model Engineering, Security, Operations and Delivery for the AI-powered Enterprise SUNNYVALE, Calif.--(BUSINESS WIRE)--$FROG #AI--COMPUTEX 2025 – JFrog Ltd (Nasdaq: FROG), the Liquid Software company and creators of the award-winning JFrog Software Supply Chain Platform, today announced the integration of its foundational DevSecOps tools with the NVIDIA Enterprise AI Factory validated design. JFrog will serve as the cornerstone software artifact repository and secure model registry for the landmark agentic AI architecture. Following a successful NVIDIA NIM integration with the JFrog Platform, this new collaboration delivers a full-spectrum MLOps solution, designed to ensure scalable, secure and seamless deployment of AI-powered applications using the NVIDIA Blackwell platform. "The future of AI depends not only on innovation - but on trust, control, and seamless execution," said Shlomi Ben Haim, CEO and co-founder of JFrog. "To deliver AI at scale, enterprises need to adopt the same concepts applied to software: developer-friendly workflows, strong security, robust governance, and full lifecycle management. ML models are binaries, and they must be managed as first-class software artifacts. That’s why we’re excited to partner with NVIDIA to bring JFrog’s Software Supply Chain Platform as the single source of truth for all software and AI assets to the NVIDIA Enterprise AI Factory so organizations can build and scale trusted AI solutions with confidence." Delivering Critical Infrastructure to Enable Future AI Innovation The JFrog Platform provides customers with a “single source of truth” for software components within NVIDIA Enterprise AI Factory, which contains an integrated and validated suite of software technology solutions enterprises can use to develop, deploy, and manage agentic AI, physical AI, and HPC workloads on-premises. This validated design aims to allow organizations to have full control of their data and operate advanced AI agents in a secure environment. Key capabilities include: Secure & Governed Software Component Visibility: Enables all ML models, engines, and software artifacts to be scanned for security issues, versioned, governed, and traceable across the entire software development lifecycle. End-to-End Software Artifact & ML Model Management: Enables the seamless pulling, uploading, and hosting of AI models and datasets, AI containers, Docker containers, and dependencies optimized for the NVIDIA Enterprise AI Factory validated design. Rapid, Trusted AI/ML Application Provisioning in Runtime: Simplifies configuration of AI environments by eliminating the need for runtime environments to pull components from outside of the organization, thanks to the universality, proven scalability and robustness of JFrog Artifactory. Future-proofed for Evolving GenAI Applications: Quickly and easily manages ML model versioning and upgrades to new and approved model generations. “Enterprises building AI factories need to manage the complexity of AI adoption while ensuring performance, governance and trust,” said Justin Boitano, Vice President, Enterprise AI Software Products, NVIDIA. “JFrog’s unified software supply chain platform, paired with the NVIDIA Enterprise AI Factory validated design, enables rapid, responsible AI innovation at scale.” The integration is designed to enable the JFrog Platform to run natively on NVIDIA Blackwell systems to help reduce latency and process tasks with unparalleled performance, efficiency, and scale. It supports a wide range of AI-enabled enterprise applications, agentic and physical AI workflows, autonomous decision-making, and real-time data analysis across various industries, including financial services, healthcare, telecommunications, retail, media, and manufacturing. Additionally, the system leverages NVIDIA’s engineering know-how and partner ecosystem to help enterprises accelerate time-to-value and mitigate the risks of AI deployment. Those interested in learning more about JFrog and NVIDIA integrations or going hands-on with the NVIDIA NIM trial should visit https://jfrog.com/jfrog-and-nvidia/. Like this Story? Share this on X: Big news! @JFrog is proud to serve as a cornerstone in @nvidia #Enterprise #AI Factory to accelerate the next generation of #agenticAI innovation. Read more: https://bit.ly/432sW1a #SoftwareSupplyChain #DevOps #DevSecOps #cybersecurity #developer #COMPUTEX About JFrog JFrog Ltd. (Nasdaq: FROG) is on a mission to power the world with liquid software. We are replacing endless software updates with a single system of record that seamlessly delivers secure applications from developer to device. The JFrog Software Supply Chain Platform helps organizations build, manage, and distribute software quickly and securely, making applications available, traceable, and tamper-proof. Its integrated security features also help identify, protect, and remediate against threats and vulnerabilities. The Platform also brings ML models in line with all other software development processes, providing a single source of truth for all software components across Engineering, MLOps, DevOps, and DevSecOps teams so they can build and release AI applications faster, with minimal risk and less cost. JFrog’s hybrid, universal, multi-cloud platform is available as both self-hosted and SaaS services across major cloud service providers. Millions of users and 7K+ customers worldwide, including a majority of the Fortune 100, depend on JFrog solutions to securely embrace digital transformation. Once you leap forward, you won’t go back! Learn more at jfrog.com and follow us on X: @jfrog. Cautionary Note About Forward-Looking Statements This press release contains “forward-looking” statements, as that term is defined under the U.S. federal securities laws, including, but not limited to, statements regarding JFrog’s artifact repository and secure model registry’s integration with NVIDIA’s agentic AI architecture delivering a full-spectrum MLOps solution. These forward-looking statements are based on our current assumptions, expectations, and beliefs and are subject to substantial risks, uncertainties, assumptions and changes in circumstances that may cause JFrog’s actual results, performance or achievements to differ materially from those expressed or implied in any forward-looking statement. There are a significant number of factors that could cause actual results, performance or achievements to differ materially from statements made in this press release, including but not limited to risks detailed in our filings with the Securities and Exchange Commission, including in our annual report on Form 10-K for the year ended December 31, 2024, our quarterly reports on Form 10-Q, and other filings and reports that we may file from time to time with the Securities and Exchange Commission. Forward-looking statements represent our beliefs and assumptions only as of the date of this press release. We disclaim any obligation to update forward-looking statements except as required by law. Contacts Media Contact:Siobhan Lyons, Sr. Manager, Global Communications, siobhanL@jfrog.com Investor Contact:Jeff Schreiner, VP of Investor Relations, jeffS@jfrog.com

CrowdStrike delivers end-to-end protection for enterprise AI factories built with NVIDIA Enterprise AI Factory validated design architecture AUSTIN, Texas--(BUSINESS WIRE)--CrowdStrike (NASDAQ: CRWD) today announced its integration in the NVIDIA Enterprise AI Factory validated design architecture. Enterprises can deploy CrowdStrike in NVIDIA Enterprise AI Factory deployments to protect AI infrastructure, systems and models. As businesses and governments around the world rush to adopt AI and build with NVIDIA, the CrowdStrike Falcon® platform is cybersecurity's definitive technology for securing the AI era. “CrowdStrike pioneered AI-native cybersecurity, and today we’re securing the standardized architecture that’s transforming how organizations innovate in the AI era,” said Daniel Bernard, chief business officer at CrowdStrike. “Together with NVIDIA, we’re eliminating the guesswork from securing AI infrastructure with a validated reference architecture. Now, organizations can build NVIDIA AI Factories even faster, adopting AI technologies with confidence and speed. CrowdStrike’s collaboration with NVIDIA showcases Falcon’s market leadership in securing the AI era for the benefit of all businesses adopting AI for a better tomorrow.” “As organizations move quickly to operationalize AI, security must be built in from the ground up,” said Justin Boitano, vice president of Enterprise AI Software Products at NVIDIA. “CrowdStrike’s integration with the NVIDIA Enterprise AI Factory validated design brings real-time, AI-powered cybersecurity to the AI applications driving productivity breakthroughs across industries.” Deployable on premises with NVIDIA Blackwell infrastructure, NVIDIA Enterprise AI Factory validated design combines the hardware and software needed to support every stage of the AI lifecycle – from data ingestion and model training to deployment and runtime use. Bringing AI into production at scale – to improve efficiency, speed decision-making and deliver business outcomes – requires more than just models. Enterprises need full-stack infrastructure to build, deploy and operate AI applications, agentic AI and physical AI workflows with speed and control. As enterprises accelerate AI adoption and embrace AI factories, they face new risks like data poisoning, model tampering and sensitive data exposure. CrowdStrike secures AI with AI, keeping AI Factory customers ahead of emerging threats. With front-line insights from CrowdStrike’s elite threat hunters and intelligence analysts, combined with trillions of daily security events processed by the Falcon platform, a continuous feedback loop trains CrowdStrike AI to learn and adapt in real time – enabling machine-speed detection and response to both known and emerging threats. To deliver this protection across the AI lifecycle, CrowdStrike brings together innovations like Falcon® Cloud Security AI-SPM and advancements such as AI Model Scanning and detection of Shadow AI, to identify and mitigate risks in AI models before they become risks, while providing visibility into overall AI security posture. Combined with CrowdStrike AI Red Team Services and Falcon® Adversary OverWatch, CrowdStrike secures end-to-end AI innovation within enterprise AI factories using NVIDIA AI Factory validated design. “Enterprises are moving quickly to operationalize AI – and they need security that can keep pace,” said Jay McBain, chief analyst at Canalys. “By embedding security into the core of the AI Factory architecture, CrowdStrike is empowering organizations to realize their AI objectives faster – from pilot to production – while maintaining the trust, visibility and control needed to scale AI securely.” About CrowdStrike CrowdStrike (NASDAQ: CRWD), a global cybersecurity leader, has redefined modern security with the world’s most advanced cloud-native platform for protecting critical areas of enterprise risk – endpoints and cloud workloads, identity and data. Powered by the CrowdStrike Security Cloud and world-class AI, the CrowdStrike Falcon® platform leverages real-time indicators of attack, threat intelligence, evolving adversary tradecraft and enriched telemetry from across the enterprise to deliver hyper-accurate detections, automated protection and remediation, elite threat hunting and prioritized observability of vulnerabilities. Purpose-built in the cloud with a single lightweight-agent architecture, the Falcon platform delivers rapid and scalable deployment, superior protection and performance, reduced complexity and immediate time-to-value. Learn more: https://www.crowdstrike.com/Follow us: Blog | Twitter | LinkedIn | Facebook | InstagramStart a free trial today: https://www.crowdstrike.com/free-trial-guide/ © 2025 CrowdStrike, Inc. All rights reserved. CrowdStrike and CrowdStrike Falcon are marks owned by CrowdStrike, Inc. and are registered in the United States and other countries. CrowdStrike owns other trademarks and service marks and may use the brands of third parties to identify their products and services. Contacts Media ContactJake Schuster CrowdStrike Corporate Communications press@crowdstrike.com