CrowdStrike and Nebius integrate security into AI cloud platform
CrowdStrike and Nebius announced a partnership to embed enterprise cybersecurity directly into AI cloud infrastructure. CrowdStrike's Falcon platform will integrate into Nebius AI Cloud, creating a unified security layer for organizations building and scaling AI systems.
The move addresses a fundamental gap in how companies secure AI environments. Traditional cybersecurity frameworks were not designed for the speed, scale, and complexity of AI workloads. As organizations accelerate AI adoption, security vulnerabilities multiply.
Building security into high-performance infrastructure
Nebius AI Cloud was designed specifically for distributed AI applications. The platform combines NVIDIA hardware for processing power with built-in safeguards including encryption, tenant isolation, and access controls. Adding CrowdStrike's Falcon platform extends visibility across infrastructure and runtime environments, alongside threat detection and response capabilities.
For operations teams, the integration means extending existing cybersecurity policies into AI operations without redesigning security architecture. Organizations can maintain consistent security workflows while scaling AI workloads.
Daniel Bernard, chief business officer at CrowdStrike, said: "The more AI organisations adopt, the more security they need. CrowdStrike is the cybersecurity foundation for the AI era, securing AI wherever it runs."
Marc Boroditsky, chief revenue officer at Nebius, added: "AI companies don't just need more GPUs - they need infrastructure that performs predictably at scale and fits into how their organizations already operate."
What this means for operations teams
Organizations no longer face a choice between speed and security. The partnership treats security as foundational to AI infrastructure, not an add-on layer applied afterward.
Operations teams can run AI workloads without disrupting existing security controls and processes. This continuity matters for enterprises managing complex digital ecosystems where reworking security architecture creates operational friction and risk.
As AI adoption accelerates across industries, the ability to innovate without introducing new vulnerabilities becomes a competitive necessity.
Learn more about implementing AI securely in your operations with resources on AI for Operations and the AI Learning Path for Cybersecurity Analysts.
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