Vectra AI Reduces Vulnerability Noise with Runtime Context
"One of the things I loved about Upwind immediately was one, it was really focused on containerization. We can deploy into our Kubernetes management and then we immediately have visibility into all of our containers."
About Vectra AI
About Vectra AI
Vectra AI is a leading network detection and response (NDR) provider, founded in 2011 and trusted by security teams to detect, investigate, and prioritize real attacks across modern environments. Built on deep expertise in network-based threat detection, Vectra has evolved into a broader observability platform spanning identities, cloud, and on-prem networks.
With a strong security foundation, Vectra emphasizes prioritization and clarity, focusing on what actually matters instead of overwhelming teams with alerts. As they expanded into cloud, they struggled with noisy tools and a lack of context, making it difficult to determine which vulnerabilities were real, in use, and worth prioritizing.
Upwind helped them validate and prioritize vulnerabilities based on what was actually happening in their environment.
Challenges
- Excessive false positives from static scans: Traditional tools flagged vulnerabilities without runtime context, leading to large volumes of noise.
- Lack of meaningful prioritization: CVSS scores and static analysis didn’t reflect whether vulnerabilities were actually exploitable in Vectra’s environment.
- No visibility into real usage: Vulnerabilities were reported even when packages weren’t loaded, invoked, or had already been patched through backporting.
- Friction between security and development teams: Passing along non-issues created tension and slowed down engineering workflows.
- Highly dynamic, containerized infrastructure: With thousands of workloads constantly spinning up and down, static snapshots quickly became outdated.
- Compliance pressure without clear signal: It was difficult to confidently prioritize and remediate vulnerabilities for frameworks like FedRAMP and TX-RAMP.
Solutions
- Runtime-based vulnerability validation: Upwind shows whether vulnerable packages are actually present, loaded, and in use, eliminating false positives.
- Accurate prioritization of real risk: Instead of relying on static scores, Vectra can focus on vulnerabilities that are truly exploitable in their environment.
- Real-time visibility for dynamic environments: Continuous insight into containerized workloads ensures visibility keeps pace with infrastructure changes.
- Reduced friction across teams: Developers spend less time chasing non-issues, improving collaboration between security and engineering.
- Fast, lightweight deployment: Upwind was deployed quickly via Kubernetes and Terraform, delivering value within hours.
- Support for compliance initiatives: Clear visibility into real vulnerabilities enables confident prioritization and progress toward certifications like FedRAMP.
"We really needed something that was real time. So that's why, obviously, we chose Upwind."
Why Vectra.ai Chose Upwind
Vectra AI approached cloud security with a clear requirement: any solution they adopted had to align with their core philosophy of prioritization and clarity. As a company focused on detecting real attacks and reducing noise for their own customers, they needed a platform that could do the same internally.
What they found in the market fell short. Existing tools relied heavily on static scanning and CVSS-based scoring, which created a high volume of noise without accurately reflecting real risk. Vulnerabilities were flagged without context, leading to false positives, wasted time, and friction between security and development teams.
Upwind stood out by taking a different approach. Instead of relying on static snapshots, it provided visibility into whether vulnerable packages were actually present, loaded, and in use within their environment. This allowed Vectra to validate which vulnerabilities were real and worth prioritizing, rather than chasing issues that didn’t apply.
Combined with a fast deployment and immediate visibility across their containerized workloads, Upwind gave Vectra the clarity they were looking for. It enabled their teams to focus on what actually matters, reduce noise, and operate with confidence in a highly dynamic cloud environment.
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