Case Study: Watershed reduces SCA noise by 85% with Socket

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Preview of the Watershed Case Study

Watershed cuts SCA noise by 85% with Socket

Watershed, the enterprise sustainability platform, relied on open source software but faced a challenge with their existing software composition analysis (SCA) tool generating a high volume of false alarms. This noisy SCA was overwhelming their engineering teams with unnecessary work. To address this, they turned to Socket, which offered SCA with reachability analysis for their tech stack.

By implementing Socket's solution, Watershed leveraged automated triaging and contextual information to eliminate 85% of irrelevant vulnerability alerts. This left their engineers to focus on only the most critical 15% of issues. The result was an immediate and significant reduction in workload, allowing the team to resolve all reachable vulnerabilities quickly and maintain a strong security posture without slowing down development.


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