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Crowdstrike, Nvidia collaborate tot advance agentic AI in cybersecurity

Crowdstrike, Nvidia collaborate tot advance agentic AI in cybersecurity

Crowdstrike (CRWD) announced groundbreaking agentic AI innovations built on Nvidia (NVDA) AI software, setting a new standard for AI-powered cybersecurity. When running NVIDIA NIM microservices internally, CrowdStrike Charlotte AI Detection Triage enabled, on average, automated detection triage at 2x the speed of its initial launch with 50% fewer compute resources, reducing alert fatigue and maximizing SOC efficiency. The collaboration between CrowdStrike and NVIDIA is pioneering the next era of cybersecurity with advanced reasoning models to deliver even more intelligent automation, enable real-time decision-making and enhance precision to help security teams respond to threats with unprecedented speed and accuracy. According to the 2025 CrowdStrike Global Threat Report, adversaries can now break out from initial access in as little as 51 seconds. Traditional security tools can’t keep up, overwhelming analysts with a flood of alerts and leaving organizations vulnerable. By continuing to test and innovate with full-stack NVIDIA AI accelerated computing, CrowdStrike customers will continue to gain the automation, intelligence and scale needed to outpace modern threats. This strategic collaboration also explores NVIDIA Llama Nemotron reasoning models to enhance detection accuracy, equipping security teams to stop attacks with even greater speed and precision. “The future of cybersecurity is agentic AI-where advanced reasoning models power intelligent automation to work seamlessly with human analysts to stop breaches faster than ever,” said Daniel Bernard, chief business officer at CrowdStrike. “By combining CrowdStrike’s AI-native Falcon platform with NVIDIA AI, we’re working to deliver the next evolution in security operations. This is just the beginning-together, we’re redefining how organizations scale, secure and accelerate their defenses with the power of agentic AI.”

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