Case Study: Vectra AI reduces vulnerability noise with Upwind Security

Vectra AI reduces vulnerability noise in hours with Upwind

Vectra AI, a leading network detection and response provider, struggled with excessive false positives from static vulnerability scans in their dynamic, containerized cloud environment. This lack of runtime context created noise, made meaningful prioritization difficult, and caused friction between their security and development teams. They needed a solution from Upwind that could provide clarity by identifying which vulnerabilities were actually exploitable.

Upwind implemented its runtime-based vulnerability validation to show which vulnerable packages were truly present, loaded, and in use. This solution provided Vectra AI with accurate prioritization of real risk, eliminated false positives, and reduced team friction. The deployment was fast and delivered immediate visibility, enabling Vectra to confidently focus on remediation for critical issues and support their compliance initiatives.

Vectra AI