CrowdStrike and NVIDIA Redefine Cybersecurity with Always-On AI Agents Protecting the Country’s Digital Infrastructure- image 1

CrowdStrike and NVIDIA Redefine Cybersecurity with Always-On AI Agents Protecting the Country’s Digital Infrastructure

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CrowdStrike announced a collaboration with NVIDIA to implement continuously learning, always-on AI agents for the cybersecurity of edge devices. This involves the use of Charlotte AI AgentWorks, open NVIDIA Nemotron models, NVIDIA NeMo Data Designer synthetic data, NVIDIA Nemo Agent Toolkit tools, and NVIDIA NIM microservices.

CrowdStrike and NVIDIA Redefine Cybersecurity with Always-On AI Agents Protecting the Country’s Digital Infrastructure - image 1
AUTONOMOUS AI AGENTS

The collaboration between CrowdStrike and NVIDIA enables the creation of autonomous AI agents.

Autonomous AI agents operate in real-time mode, constantly learning and protecting critical infrastructure in the cloud, data centers, and edge devices.

 “AI is transforming cybersecurity, and cybersecurity professionals need speed and intelligent capabilities at the edge to stay ahead of the adversary,” said George Kurtz, CEO and founder of CrowdStrike. “To stop AI-driven attacks, AI protection is needed, which shields systems from the speed and volume of attacks, and we are working with NVIDIA to provide autonomous AI agents that continuously learn to protect critical infrastructure and the global economy”.

“Cybersecurity in the age of AI requires intelligence that thinks at machine speed,” said Jensen Huang, founder and CEO of NVIDIA. “Together with CrowdStrike, we are creating AI-powered real-time security agents that protect cloud infrastructure, data centers, and edge systems to safeguard the systems that underpin our economy and national security”.

CROWDSTRIKE’S AGENTIC SECURITY PLATFORM

Advancing continuous learning and edge intelligence with Charlotte AI AgentWorks and NVIDIA

Deploying agents based on Charlotte AI AgentWorks and NVIDIA technologies on edge devices will enable organizations to deploy autonomous AI agents with continuous learning right where data is created. This allows them to better protect data centers and controlled environments.

Customers will be able to fine-tune and optimize models for their AI agents on the CrowdStrike security platform, thanks to training open NVIDIA Nemotron models on CrowdStrike expert data using NVIDIA NeMo Data Designer.

This joint innovation will enable enterprises to scale and accelerate security operations by enabling local inference that continuously improves threat detection accuracy and enables real-time responses. This helps maintain control over sensitive data and comply with regional sovereignty requirements.

Unifying Data, Computing Power, and Management on CrowdStrike’s Agentic Security Platform and NVIDIA Infrastructure

By integrating the Falcon LogScale, Onum, and Pangea agentic security platform with NVIDIA accelerated computing and CUDA-X libraries, CrowdStrike creates a unified telemetry pipeline for high-precision security data in real time. CrowdStrike combines the Falcon LogScale, Onum, and Pangea agentic security platform with NVIDIA accelerated computing and CUDA-X libraries. This creates a unified telemetry stream with accurate security data in real time.

This architecture enables defenders to feed enriched data directly into local AI models and agents created and configured using the NVIDIA NeMo Agent Toolkit. They now operate at the edge, enabling systems to learn securely, make accurate decisions, and act in accordance with corporate policies.

CrowdStrike also supports the latest NVIDIA AI Factory for Government reference design, which provides guidance for security teams on building and deploying AI agents in government agencies and other organizations with enhanced security requirements. This allows enterprises to manage multiple AI workloads locally and in hybrid cloud environments while simultaneously meeting the highest regulatory security requirements.

CrowdStrike and NVIDIA are jointly reimagining cybersecurity in the AI era. They combine continuous learning, real-time threat intelligence, and machine-speed protection to defend digital infrastructure, support the global economy, and national security.

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