Case Study: Zebra Technologies cuts SCA noise by 97% and remediation effort by over 60% with Endor Labs
Key results
The challenge
Zebra Technologies' traditional SCA tooling surfaced every finding regardless of reachability or impact, creating excessive alert volume without prioritization. That noise caused developer friction, delayed remediation, and made risk communication across business units difficult.
The solution
Zebra deployed Endor Labs' reachability-based SCA platform to prioritize exploitable vulnerabilities, reduce false positives, and catch issues earlier in the SDLC. Prioritization was integrated into developer workflows across business units.
“Endor Labs helped us cut through the noise and focus on what matters.”
MHMichael HammondInformation Security Engineer, Zebra Technologies
The results, in context
Within weeks of deployment, Zebra reported a 97% reduction in non-actionable alerts and cut remediation effort by over 60% by catching issues earlier in the pipeline. Business-unit risk scores became more accurate and developer trust and engagement improved.