CoreWeave Partners With CrowdStrike on AI Security
The global partnership extends CoreWeave's infrastructure to support CrowdStrike's SafeMind security models across AI training, inference and production.
Updated on Nov. 2, 2026 in Artificial Intelligence
CoreWeave, an AI cloud provider built on NVIDIA GPUs, announced a global partnership with CrowdStrike, which operates the Falcon security platform, at Fal.Con Europe 2025 on November 5, 2025. The collaboration aims to secure AI workloads as companies deploy AI systems.
Why it matters
Companies are deploying AI systems faster than they can protect them, and the partnership targets security across the full AI lifecycle. The tie-up reflects growing demand for security built directly into AI infrastructure.
CoreWeave reports a 100-fold reduction in false positives and zero breaches while running CrowdStrike's Falcon products, with the figures self-reported by the company. The stub does not specify the original false-positive baseline or whether results were independently audited.
The players
CoreWeave
CoreWeave is an AI cloud provider built on NVIDIA GPUs that supplies infrastructure for training and running artificial intelligence models.
CrowdStrike
CrowdStrike is a cybersecurity company that operates the Falcon security platform and develops AI-driven threat protection tools.
The details
CoreWeave has run CrowdStrike's Falcon products since at least 2023 and says the integrations save hundreds of hours annually. CoreWeave will also take an active role in CrowdStrike's Cyber Superintelligence Lab and has joined CrowdStrike's AI Partner Specialization.
Timeline
2023: CoreWeave began running CrowdStrike's Falcon products.
November 5, 2025: Partnership unveiled at Fal.Con Europe 2025.
August 31, 2026: CoreWeave joined CrowdStrike's AI Partner Specialization.
September 30, 2026: Scheduled launch of CoreWeave's Partner Network.
The Tech Race
The partnership places CrowdStrike's Falcon platform inside AI cloud infrastructure rather than only at the endpoint, a move that competes for control of AI security as cloud providers and security firms converge. It positions both companies against rivals seeking to secure the growing volume of enterprise AI workloads.
Organizations running AI models in cloud environments may see fewer false alerts and reduced exposure to breaches if similar security integrations are adopted. The practical effect for users depends on whether their providers adopt comparable protections.
The takeaway
Security for AI systems is increasingly being built into the infrastructure that runs them rather than added afterward. Organizations deploying AI should ask providers how security is handled across training, inference and production.
Further reading
For broader context on how AI systems are being built and protected, explore Artificial Intelligence coverage on Wisevoter.
