Upwind Security
Beta Vendor Disclaimer
Vendor information is currently in beta. Information is compiled from public technical specifications; consult with the vendor for official compliance validation.
Description
Upwind Security is a runtime-powered Cloud-Native Application Protection Platform (CNAPP) built on lightweight eBPF (Extended Berkeley Packet Filter) architecture and agentless cloud scanning. By capturing continuous, kernel-level telemetry across processes, system calls, and Layer 3–7 network paths, Upwind correlates runtime context with cloud infrastructure posture (CSPM/KSPM), identity governance (CIEM), data security (DSPM), and application supply chain risks (ASPM). This cuts through alert noise by prioritizing risks based on actual in-memory runtime reachability and provides real-time active threat protection.
Key Features
- Hybrid eBPF Runtime & Agentless Architecture: Combines lightweight, in-kernel eBPF sensors (<1% CPU overhead) for live Layer 3–7 network, process, and file telemetry with agentless cloud snapshot scanners to deliver unified full-stack visibility across VMs, containers, and serverless.
- Runtime Reachability & In-Memory Prioritization: Slashes vulnerability alert fatigue by continuously validating whether open-source packages, libraries, or exposed APIs are actively executing in memory and internet-reachable, filtering out dormant CVEs.
- AI-Driven Threat Stories & Active ADR: Dynamically correlates distributed cloud audit logs, identities, network paths, and kernel events into unified, single-pane incident timelines with automated real-time process blocking, PID termination, and container isolation.
- Bidirectional Code-to-Cloud ASPM & Runtime SBOM: Provides instant traceability from live production workloads back to the exact source code repository, branch, commit, and Dockerfile, coupled with dynamic runtime SBOM generation.
- Integrated API Security, DSPM & AI-SPM: Automatically discovers shadow/zombie APIs via live Layer 7 traffic inspection, classifies sensitive data flows (PII, PCI, PHI), and safeguards GenAI/LLM pipelines, GPU compute clusters, and model endpoints.
Best Fit
- Kubernetes & Ephemeral Cloud-Native Environments: Exceptional for dynamic, containerized microservices where traditional periodic snapshot-only scanners miss transient, short-lived workloads.
- SecOps Teams Overwhelmed by Vulnerability Debt: Best fit for security organizations seeking to eliminate up to 95% of alert noise by isolating true, internet-reachable execution paths and exploitable risk combinations.
- Modern DevSecOps & Platform Engineering: Tailored for teams requiring seamless shift-left security (IaC & SCA scanning) paired with real-time runtime enforcement and automated root-cause developer remediation.
- GenAI, LLM & AI-Driven Application Footprints: Ideal for environments deploying AI models, tracking GPU infrastructure metrics, prompt data flows, and external AI model endpoints for security and compliance.