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CrowdStrike Collaborates with NVIDIA to Advance Cybersecurity with Generative AI

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CrowdStrike (CRWD) partners with NVIDIA to enhance cybersecurity with AI-powered solutions. The collaboration aims to leverage NVIDIA's AI computing services on CrowdStrike Falcon XDR platform, enabling faster threat detection and response. The joint effort focuses on custom generative AI model creation to combat modern cyber threats.
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The partnership between CrowdStrike and NVIDIA signifies a strategic move to enhance cybersecurity measures using advanced AI technologies. The integration of NVIDIA's AI computing services with CrowdStrike's Falcon XDR platform is designed to improve the efficiency and effectiveness of cybersecurity efforts. The use of GPU-optimized AI pipelines and microservices like NVIDIA NIM could potentially accelerate the detection and response to cyber threats, which is important given the reported decrease in breakout time to an average of 62 minutes.

From a cybersecurity perspective, the ability to process vast amounts of data, on the scale of petabytes daily and apply generative AI models to this data is a significant advancement. The concept of 'community immunity,' where threat intelligence is shared and preventative measures are enhanced across the customer base, could lead to a more robust defense against cyber attacks. However, it is important to assess the effectiveness of these AI-powered solutions in real-world scenarios, as well as their ability to adapt to the constantly evolving landscape of cyber threats.

The collaboration between CrowdStrike and NVIDIA leverages the power of large language models (LLMs) and AI to process and analyze petabytes of security-related data. The use of LLMs for domain-specific applications in cybersecurity is an innovative approach that could transform threat hunting and anomaly detection. The ability to process and interpret vast datasets with AI can uncover patterns and insights that might be missed by traditional methods.

However, the implementation of such technology requires careful consideration of the computational resources and the expertise needed to manage and interpret the outcomes. Enterprises must ensure that the integration of AI into their cybersecurity infrastructure does not introduce new vulnerabilities or complexities that could be exploited. Furthermore, the operationalization of AI architectures must be done in a way that maximizes performance while optimizing costs, which can be a challenging balance to achieve.

The strategic collaboration between CrowdStrike and NVIDIA has potential implications for both companies' financial performance and market positioning. By combining CrowdStrike's cybersecurity expertise with NVIDIA's AI prowess, they aim to create a competitive edge in the cybersecurity market. The emphasis on AI/ML adoption across businesses could signal a growing demand for AI-powered cybersecurity solutions, which may translate into increased revenue streams for both companies.

Investors should monitor the adoption rates of these AI-powered applications and the impact on operational efficiency for clients. The success of this collaboration could also influence the stock performance of both CrowdStrike and NVIDIA, as market perception of their innovation and value proposition could be enhanced. Nonetheless, investors must consider the costs associated with the development and deployment of these technologies and the potential risks associated with their implementation.

Companies join forces to bring LLM-powered applications to the enterprise, unleashing the power of the CrowdStrike Falcon® XDR platform data with NVIDIA AI Software, including new NVIDIA NIM microservices

AUSTIN, Texas--(BUSINESS WIRE)-- CrowdStrike (NASDAQ: CRWD) today announced a strategic collaboration with NVIDIA to deliver NVIDIA’s AI computing services on the industry-leading AI-native CrowdStrike Falcon® XDR platform. Combining Falcon platform data with NVIDIA’s GPU-optimized AI pipelines and software, including new NVIDIA NIM microservices, puts custom and secure generative AI model creation in the hands of CrowdStrike and NVIDIA customers.

According to the 2024 CrowdStrike Global Threat Report, the average breakout time is now down to 62 minutes, with the fastest recorded attack being just over two minutes. As modern attacks grow faster and more sophisticated, organizations need AI-powered security to gain the organizational speed and automation required to stay protected and stop breaches.

“Since our founding, CrowdStrike has pioneered the use of AI in cybersecurity. Our customers from all verticals, segments, and geographies are increasing adoption of AI/ML across their businesses, looking to generative AI for efficiency, speed, and innovation,” said George Kurtz, co-founder and CEO at CrowdStrike. “Our collaboration with NVIDIA combines the power of two innovative industry leaders to not only help customers meet and exceed necessary security requirements, but also increase adoption of AI technologies for business acceleration and value creation.”

“Cybersecurity is inherently a data problem — the more data that enterprises can process, the more events they can detect and address,” said Jensen Huang, founder and CEO of NVIDIA. “Pairing NVIDIA accelerated computing and generative AI with CrowdStrike cybersecurity can give enterprises unprecedented visibility into threats to help them better protect their businesses.”

CrowdStrike creates the richest and highest fidelity security telemetry, on the order of petabytes daily, from the AI-native Falcon platform. Embedded in the Falcon platform is a virtuous data cycle where cybersecurity’s very best threat intelligence data is collected at the source, preventative and generative models are built and trained, and CrowdStrike customers are protected with community immunity. This collaboration helps Falcon users take advantage of AI-powered solutions to stop the breach, faster than ever.

CrowdStrike will leverage NVIDIA accelerated computing, NVIDIA Morpheus and NVIDIA NIM microservices to bring custom LLM-powered applications to the enterprise. Paired with the Falcon platform’s unique contextual data, customers will be able to solve novel, domain-specific use cases, including AI-powered applications that can process petabytes of logs to improve threat hunting, detect supply chain attacks, identify anomalies in user behavior, and proactively defend against emerging exploits and vulnerabilities. Customers can benefit from having the best underlying security data to operationalize their selection of AI architectures with confidence, quickly turning all enterprise data into powerful insights and actions to drive performance and cost optimizations.

To learn more about the strategic collaboration, visit here.

Forward-Looking Statement Notice

The press release includes forward-looking statements including, but not limited to, statements concerning the development and availability of product and features, the benefits and capabilities of our current and future products and services, and our strategic plans and objectives. Such statements are subject to numerous risks and uncertainties and actual results could differ from those statements. Any future products, functionality and services may be abandoned or delayed, and customers should make decisions to purchase products and services based on features that are currently available. These and other risk factors are described in the “Risk Factors” section of our most recent Form 10-Q filed with the Securities and Exchange Commission.

Any forward-looking statements made in this press release are based on our beliefs and assumptions that we believe to be reasonable as of the date of publication. You should not rely upon forward-looking statements as predictions of future events. Except to the extent required by law, we undertake no obligation to update these forward-looking statements to reflect new information or future events.

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.

CrowdStrike: We stop breaches.

Learn more: https://www.crowdstrike.com/
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© 2024 CrowdStrike, Inc. All rights reserved. CrowdStrike, the falcon logo, CrowdStrike Falcon and CrowdStrike Threat Graph are marks owned by CrowdStrike, Inc. and registered with the United States Patent and Trademark Office, and in other countries. CrowdStrike owns other trademarks and service marks, and may use the brands of third parties to identify their products and services.

Kirsten Speas

CrowdStrike Corporate Communications

press@crowdstrike.com

Source: CrowdStrike

FAQ

What is the collaboration between CrowdStrike and NVIDIA about?

CrowdStrike (CRWD) and NVIDIA are collaborating to bring NVIDIA's AI computing services to CrowdStrike Falcon XDR platform for enhanced cybersecurity.

What is the significance of combining Falcon platform data with NVIDIA's GPU-optimized AI pipelines?

Combining Falcon platform data with NVIDIA's GPU-optimized AI pipelines allows for custom generative AI model creation to combat modern cyber threats effectively.

How does the collaboration aim to help organizations in terms of cybersecurity?

The collaboration aims to provide organizations with AI-powered security solutions for faster threat detection and response to prevent breaches effectively.

What benefits do customers get from the collaboration between CrowdStrike and NVIDIA?

Customers can benefit from improved threat hunting, supply chain attack detection, anomaly identification in user behavior, and proactive defense against emerging exploits and vulnerabilities.

What technologies will CrowdStrike leverage from NVIDIA for custom LLM-powered applications?

CrowdStrike will leverage NVIDIA accelerated computing, NVIDIA Morpheus, and NVIDIA NIM microservices for custom LLM-powered applications.

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