Upwind raises $250 million for cloud security

"Upwind focuses on securing public cloud environments with a so-called runtime-first approach. According to the company, traditional security models are increasingly out of step with modern cloud architectures, in which real-time applications and AI workloads play an increasingly important role. The CEO and co-founder argues that security should be based on what is actually happening in a cloud environment, rather than on static assumptions or snapshots."

"Upwind's platform analyzes malicious activity by combining cloud telemetry with data collected via eBPF, a technology from the Linux kernel. This allows the operating system itself to act as an observation layer, which, according to the company, provides deeper and more accurate insights than traditional observability methods, writes SiliconANGLE. This runtime data makes it possible to detect attacks at an early stage and better understand how they develop."

Upwind completed a $250 million Series B financing, bringing total capital raised to $430 million to accelerate growth of its cloud security platform. The platform applies a runtime-first approach to secure public cloud environments, prioritizing real-time activity over static assumptions. Upwind combines cloud telemetry with eBPF-derived kernel data so the operating system functions as an observation layer, enabling earlier detection and clearer analysis of malicious behavior. The platform generates detailed timelines of incidents, supports automated response scripts, integrates with CI/CD to catch vulnerabilities before deployment, flags configuration errors, and maps application communication in production.

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