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As published on sardine.ai. Captured by usedby on Oct 8, 2026.

What happened

Jobber replaced a legacy fraud vendor with Sardine to get richer device and behavioral signals, faster rule iteration, and an analytics dashboard for its fintech offerings. Its risk operations now center on a unified case management workflow with Sardine providing the signal layer for decisions.

Summary written by usedby from the source page, in English. The figures are those of Sardine and Jobber, not ours.

Sardine has helped Jobber close several meaningful gaps. They now have richer device and behavioural signals informing their decisions, faster iteration on rules in response to new fraud patterns, and the flexibility to adapt as their product and risk surface continue to grow.

From the page. sardine.ai, captured Oct 8, 2026

One of the standout aspects of Sardine has been the depth of signal coverage and the quality of the analytics layer on top of it. The platform surfaces granular device and session attributes that go well beyond what Jobber had access to previously. These markers are incredibly useful for distinguishing legitimate users from bad actors, identifying emulators or spoofing attempts, and linking related sessions across accounts.

Barnard Steyn, Head of Risk and Fintech Operations, Jobber. Source, captured Oct 8, 2026

What the story claims, and what we checked

We compared the story with its live page on Oct 8, 2026.

  • The passage quoted aboveCheckedCopied word for word from the page, near the name of Jobber.
  • Jobber uses SardineCheckedConfirmed line. Latest check across sources: Oct 8, 2026.
  • The result itselfNot checkedWe quote it; we did not measure it.

Same company, same tool or same industry.

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