Zebra Technologies Cuts SCA Noise by 97% with Endor Labs
Blog post from 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.
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
|---|---|---|---|---|---|
| OpenClaw | 2 | 13 | 12 | 3 | +1200% |
| Developer Experience | 1 | 904 | 331 | 110 | +98% |
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.