Upwind Security builds a cloud-native security platform that observes Kubernetes, container runtime, and infrastructure behavior to detect misconfigurations and cloud risks. The tech stack—eBPF, Kubernetes, Docker, Terraform, plus observability tools like Grafana and Elasticsearch—reflects a deep runtime instrumentation approach. Sales-heavy hiring (38 roles) combined with active projects around enterprise logos and autonomous security operations signals aggressive enterprise GTM motion, while internal pain points around enterprise deal closure and customer churn suggest scaling friction typical of security startups moving upmarket.
Upwind Security delivers cloud security posture management (CNAPP) by bridging runtime telemetry with infrastructure-as-code context across AWS, GCP, and Azure. The platform uses eBPF and kernel-level instrumentation to observe container and Kubernetes workload behavior, correlating it with Terraform and CloudFormation configurations to surface misconfigurations and prioritized risks. Customers include mid-market and enterprise engineering and security teams. The company operates across 14 countries and is actively scaling sales and customer success functions while building autonomous security operations capabilities.
Upwind supports AWS, GCP, and Azure. The platform integrates with Terraform and CloudFormation templates and uses native container runtimes (Docker, containerd) across multi-cloud Kubernetes environments.
The platform uses eBPF to instrument kernel-level container runtime behavior, combined with Kubernetes observability (Grafana, Elasticsearch), Neo4j for relationship mapping, and build-time infrastructure scanning (Terraform/CloudFormation). This bridges runtime and build-time security signals.
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