# How Jobber uses Sardine

As published on [sardine.ai](https://www.sardine.ai/customers/jobber). Captured by usedby on 2026-10-08.

- Company: [Jobber](https://www.usedby.ai/companies/jobber.md)
- Tool: [Sardine](https://www.usedby.ai/tools/sardine.md)
- Teams: Risk and Fintech Operations

## What the story says

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.

> 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

## What usedby checked

We compared the story with its live page on 2026-10-08.

- Checked: the passage quoted above is copied word for word from the page, near the name of Jobber.
- Checked: Jobber uses Sardine. Confirmed line. Latest check across sources: 2026-10-08.
- Not checked: the result itself. We quote it; we did not measure it.

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Source: https://www.usedby.ai/case-studies/jobber-sardine · How we check: https://www.usedby.ai/methodology