Case Study: Zebra Technologies cuts SCA noise by 97% with Endor Labs

Zebra Technologies cuts SCA noise by 97% with Endor Labs

Zebra Technologies, a global leader in digitizing and automating workflows, faced significant challenges with its software composition analysis (SCA) program. Traditional SCA tools were creating friction by flooding developers with unprioritized alerts, making it difficult to accurately track risk and hindering secure development practices. This noise and lack of context led to alert fatigue and delayed remediation.

By implementing Endor Labs' SCA platform, Zebra gained reachability-based prioritization, which dramatically cut non-actionable noise. Endor Labs provided a developer-first experience with actionable reporting. This solution resulted in a 97% reduction in irrelevant alerts, more accurate risk scores for business units, and over 60% less effort required for remediation, allowing developers to focus on building.

Zebra Technologies