Your APIs are probably the least-monitored component of your attack surface. They multiply faster than any team can document, and most scanners only ever pick up the ones you already know about.
But that gap just got smaller. Upwind’s Attack Surface Management capabilities now provide a unified view of cloud and API exposure, helping security teams discover, validate, investigate, and prioritize API security findings alongside cloud exposure findings within a single workflow.
Why API exposure needs more than a scanner
Most API security tools stop at discovery. They tell you an endpoint exists, maybe flag a missing header, and leave you to figure out whether it actually matters.
APIs sit on the same infrastructure as everything else you’re securing: cloud accounts, Kubernetes namespaces, workloads with real data moving through them. Treating API risk as its own problem means a separate dashboard, a separate priority list, and a separate blind spot.
Upwind puts API findings in the same view as your cloud exposure findings, with the same workflow for validation and prioritization.
What’s included
Unified Attack Surface Dashboard. API vulnerability findings now sit next to cloud exposure findings in one dashboard. You’re not toggling between tools to figure out which exposure matters most.
API Vulnerability Findings. Every finding comes with an AI-generated summary, evidence, remediation guidance, and context on where it hits your attack surface. Flexible filtering helps you cut through the noise fast.
API Security Playbooks. Built-in playbooks continuously validate exposed APIs for the issues that actually get exploited: misconfigurations, transport security issues, authentication weaknesses, and exposed secrets.
On-demand API scans. Run on-demand scans to validate exposed APIs or scope scans to specific cloud accounts, organizational units, or Kubernetes namespaces, using Upwind’s runtime API security testing.
Rich investigation experience. When a finding needs a closer look, you get AI-powered summaries, the underlying rule logic, playbook execution status, and runtime relationships in one place. No piecing the story together across three different tools.
What this means for your team
Fewer tools. Less time spent context switching. Faster answers.
Security teams already drowning in cloud findings don’t need a second platform for API risk. They need to know which exposed endpoint actually connects to a workload holding sensitive data, and whether it’s worth an escalation at 2am.
Validated findings cut down the false positives clogging your queue. Unified prioritization means you’re fixing the API issue that’s genuinely reachable, not the one that just looks scary in a report.
