VAST Data, the AI Operating System company, and CrowdStrike, a global cybersecurity leader, have announced a strategic partnership that combines VAST’s native data-layer security and platform controls with CrowdStrike’s enterprise-grade threat detection and automated response capabilities. The integration embeds continuous monitoring, workflow scanning, and coordinated response directly into the VAST AI Operating System and connects telemetry with the CrowdStrike Falcon platform, enabling layered security across the entire AI lifecycle—from data ingestion and model training to runtime inference and production operations.
As enterprises transition from AI experimentation to large-scale production and autonomous agentic systems, risks are evolving rapidly. AI workloads depend on continuous data pipelines, dynamic execution environments, and distributed infrastructure—making traditional perimeter-based security insufficient. This partnership addresses these challenges by securing the data foundation and operational state that AI systems rely on, helping prevent threats such as model poisoning, data leakage, malware injection, and unauthorized access.
VAST’s platform was architected with security and governance embedded from the ground up, providing fine-grained controls at the data layer. CrowdStrike complements this with real-time threat intelligence, behavioral analysis, and automated response across endpoints, cloud workloads, and runtime environments.
Key customer benefits include:
“VAST was built to be the operating system for AI, with security and governance designed into the platform,” said Renen Hallak, Founder & CEO of VAST Data. “This partnership with CrowdStrike extends continuous threat detection and coordinated response into AI workflows and runtime environments – helping customers operate enterprise AI with greater confidence as they scale.”
“AI is becoming the operating system of the modern enterprise,” said George Kurtz, CEO and founder of CrowdStrike. “VAST operates at the data layer where AI comes to life, and CrowdStrike secures where enterprise value is created. Together, we’re securing AI at its foundation.”
The partnership builds on existing collaborations with NVIDIA, delivering comprehensive protection across AI infrastructure (NVIDIA), runtime and threat detection (CrowdStrike), and the underlying data foundation (VAST). This unified approach supports enterprises in responsibly scaling AI while addressing the unique security requirements of agentic and production-grade systems.
About VAST Data
VAST Data is the AI Operating System company – powering the next generation of intelligent systems with a unified software infrastructure stack that was purpose-built to unlock the full potential of AI. The VAST AI OS consolidates foundational data and compute services and agentic execution into one scalable platform, enabling organizations to deploy and facilitate communication between AI agents, reason over real-time data, and automate complex workflows at global scale. Built on VAST’s breakthrough DASE architecture – the world’s first true parallel distributed system architecture that eliminates tradeoffs between performance, scale, simplicity, and resilience – VAST has transformed its modern infrastructure into a global fabric for reasoning AI.
About CrowdStrike
CrowdStrike, a global cybersecurity leader, has redefined modern security with the world’s most advanced cloud-native platform for protecting critical areas of enterprise risk – endpoints and cloud workloads, identity and data. Powered by the CrowdStrike Security Cloud and world-class AI, the CrowdStrike Falcon® platform leverages real-time indicators of attack, threat intelligence, evolving adversary tradecraft and enriched telemetry from across the enterprise to deliver hyper-accurate detections, automated protection and remediation, elite threat hunting and prioritized observability of vulnerabilities. Purpose-built in the cloud with a single lightweight-agent architecture, the Falcon platform delivers rapid and scalable deployment, superior protection and performance, reduced complexity and immediate time-to-value.
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