CrowdStrike and Nebius: Securing AI Cloud Infrastructure

AI, positioned as a gamechanger in technology, is seeing massive investments and rampant adoption across the global economy. However, the adoption of AI is making companies far more vulnerable to cyber attacks.

In an effort to combat this, CrowdStrike and Nebius have announced a wide-reaching global partnership designed to bring enterprise-grade cybersecurity into the rapidly expanding world of AI. 

The agreement will see CrowdStrike’s Falcon platform integrated directly into Nebius AI Cloud, creating a unified security layer for organisations building and scaling AI systems.

As businesses race to deploy AI across operations, the challenge of securing these environments has become increasingly urgent. 

“Nebius is building a new class of AI cloud platform for AI innovation,” says Daniel Bernard, chief business officer at CrowdStrike.

“The more AI organisations adopt, the more security they need. 

“CrowdStrike is the cybersecurity foundation for the AI era, securing AI wherever it runs. 

“Together, we’re helping ensure organisations can extend unified security operations to the next generation of AI cloud infrastructure from day one.”

Building security into high-performance AI infrastructure

Traditional cybersecurity frameworks are often not built for the speed, scale and complexity of AI workloads. 

The move reflects a growing shift across the industry, where security is no longer treated as an add-on but as a foundational element of digital transformation.

At the centre of the partnership is the integration of the Falcon platform into Nebius’ AI-native cloud environment. This allows organisations to maintain consistent security operations while scaling AI workloads across high-performance systems.

Nebius AI Cloud has been designed specifically for distributed AI applications, combining advanced computing capabilities with built-in safeguards such as encryption, tenant isolation and strict access controls. 

By layering CrowdStrike’s technology into this ecosystem, customers gain enhanced visibility across both infrastructure and runtime environments, alongside AI-driven threat detection and response.

The platform is powered by cutting-edge hardware from NVIDIA, enabling the processing power required for large-scale AI training and inference. 

However, the partnership emphasises that performance alone is not enough. Security must evolve in parallel with computing capability.

In practical terms, organisations using Nebius will be able to extend their existing cybersecurity policies and workflows into their AI operations without needing to redesign their security architecture from scratch. This continuity is expected to be a major advantage for enterprises navigating complex digital ecosystems.

Executives from both companies have framed the partnership as a response to the growing intersection of AI innovation and cybersecurity risk.

From Nebius’ side, Marc Boroditsky, Chief Revenue Officer, highlighted the importance of balancing performance with operational consistency: “AI companies don’t just need more GPUs – they need infrastructure that performs predictably at scale and fits into how their organizations already operate. 

“Working with CrowdStrike means customers can run AI workloads on our full-stack AI cloud platform without disrupting the security controls and processes they already rely on.”

A strategic step towards resilient AI adoption

Beyond the technical integration, the partnership signals a broader evolution in how organisations approach AI deployment.

As adoption accelerates, businesses are increasingly looking for solutions that allow them to innovate without introducing new vulnerabilities.

By combining high-performance AI infrastructure with embedded cybersecurity, CrowdStrike and Nebius are positioning themselves at the forefront of this shift. 

The collaboration offers a model where speed, scalability and security are not competing priorities but interconnected pillars.

For enterprises, the message is clear. The future of AI will not just be defined by how fast systems can learn or scale, but by how securely they can operate in an increasingly complex threat landscape.