Zebra Technologies Cuts SCA Noise by 97% with Endor Labs

Zebra Technologies, a leader in digitizing and automating workflows across various industries, faced challenges with traditional Software Composition Analysis (SCA) tools that cluttered developer workflows with unprioritized alerts. This prompted a shift towards a more developer-aligned, risk-informed approach with the adoption of Endor Labs, which significantly improved their security practices. Endor Labs' platform reduced non-actionable alerts by 97%, improved the accuracy of business unit risk scores, and enhanced developer trust and engagement by providing reachability-based prioritization and context-aware remediation guidance. The integration facilitated faster remediation earlier in the software development lifecycle (SDLC) and allowed business units to report real risk more confidently, transforming their security operations from a hindrance into a business enabler. As a result, Zebra is expanding its use of Endor Labs to enforce policies for high-severity risks and automate remediation processes in complex CI/CD environments.

No tracked trend matches for this post yet.

Use this post, company, and trend context to find content marketing opportunities, perform competitive analysis, or address product feature gaps via the Plushcap MCP server or the Plushcap API.