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CrowdStrike and NVIDIA are expanding their partnership to develop continuously learning AI agents that defend cloud, data centre, and edge environments in real time.
CrowdStrike has announced an expanded collaboration with NVIDIA to create always-on, continuously learning AI agents for cyber security, leveraging CrowdStrike’s Charlotte AI AgentWorks platform alongside NVIDIA’s suite of AI technologies, including Nemotron open models, NeMo Data Designer, NeMo Agent Toolkit, and NIM microservices.
The partnership aims to deliver autonomous, real-time AI agents capable of learning continuously and defending critical infrastructure across cloud, data centre, and edge environments – a key advance in building what the two companies call the “agentic ecosystem”.
“AI is transforming cyber security, and defenders need speed and edge intelligence to outpace the adversary,” George Kurtz, CEO and founder of CrowdStrike, said in a 28 October statement.
“Addressing AI-driven cyber threats requires AI to protect systems from the speed and volume of attacks, and we’re working with NVIDIA to deliver autonomous AI agents that learn continuously to defend the critical infrastructure powering the global economy.”
NVIDIA founder and CEO Jensen Huang said the collaboration reflects the next stage of AI-driven defence.
“Cyber security in the era of AI demands intelligence that thinks at the speed of machines,” Huang said.
“Together with CrowdStrike, we’re building real-time, AI-driven security agents that defend cloud, data centre, and edge infrastructure – protecting the systems that power our economy and national security.”
The partnership will allow organisations to deploy autonomous agents closer to where data is created, improving local inference and enabling faster detection and response. By training NVIDIA’s Nemotron open models with data from CrowdStrike, customers will be able to fine-tune and optimise models for their own use on CrowdStrike’s Agentic Security Platform.
The integration also brings together CrowdStrike’s telemetry and data platforms – including Falcon LogScale, Onum, and Pangea – with NVIDIA’s accelerated computing and CUDA-X libraries. According to the companies, the result is a unified, high-fidelity telemetry pipeline capable of feeding local AI models with enriched security data for faster, more accurate threat response.
CrowdStrike also confirmed its support for the latest NVIDIA AI Factory for Government reference design, enabling security teams in high-assurance and regulated sectors to deploy and manage AI agents across on-premises and hybrid environments while meeting stringent security and sovereignty requirements.
David Hollingworth has been writing about technology for over 20 years, and has worked for a range of print and online titles in his career. He is enjoying getting to grips with cyber security, especially when it lets him talk about Lego.
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