The use case: how Mollie deploys Snyk
Mollie's security engineering team uses Snyk Open Source and Snyk Code to scan code and dependencies in pipelines and developers' IDEs, replacing a slower scanning solution with many false positives. They also use its dashboards and triage features to prioritize vulnerabilities.
More reported results
Figures published in Snyk’s case study. They are not independently measured by usedby.
Due to the 100% uptime of the scanner engine, they no longer waste time and resources fixing and maintaining the solution.
Other AI tools used by Mollie
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Explore Mollie’s AI stack
Snyk users in Fintech & Payments
Companies in the same sector, with public evidence.
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Go straight to the source
Based on Snyk’s published case study. We check the public evidence; the results are reported by the vendor.
snyk.io- Last checked
- Nov 10, 2026
Open source capture What the story claims, and what we checked
What we compared with the page.
- The figure: over 50%Checked
The figure is on the page; its label is our wording.
- The passage quoted aboveChecked
Copied word for word from the page, near the name of Mollie.
- Mollie uses SnykChecked
Confirmed line.
- The result itselfNot checked
We quote it; we did not measure it.
Snyk has dramatically reduced noise for Mollie's development teams by slashing false positive rates by over 50%. Additionally, Snyk's ability to focus scans on production dependencies minimizes distractions and boosts efficiency.