AntifrogEnquiries

Before the first signal.
Define the right test.

A practical discussion guide for deciding what a fraud-prevention pilot should demonstrate.

Ivory and charcoal membership passes on an oak desk beside a brass tray.
An invitation is worth protecting.

Choose one question

Start with a specific question: for example, whether reviewing a defined payment pattern helps identify confirmed fraud without disproportionately interrupting legitimate customers. Avoid trying to validate every use case in one pilot.

Establish the baseline

Describe how the same cases are handled today. Record the definitions, time window and operational process used for comparison. A baseline makes an improvement claim testable.

Agree on reliable outcomes

Define what counts as confirmed fraud, a legitimate customer, an unresolved case and an inconclusive result. Consider delayed outcomes such as chargebacks before choosing the evaluation window.

Measure the trade-offs

Include legitimate customer friction and reviewer workload alongside fraud outcomes. A rule that creates more alerts is not necessarily a better rule.

Decide how to proceed

Agree in advance on the evidence needed to continue, revise or stop the pilot. Treat the pilot as a learning exercise with a clear decision at the end.

A view of the trade-offs

What does a
risk decision cost?

The Risk P&L view brings blocked volume, disputed amounts and false positives into the evaluation. This example is not a claim of savings.

Antifrog Risk P&L interface, shown with synthetic demonstration data
Risk P&L

Examine the cost of risk decisions alongside disputed amounts.

Consider the trade-off between blocked activity and disputed amounts. Use a defined baseline to evaluate outcomes rather than assuming every block creates value.

Select the image to inspect the interface

From the working build · v1.13.0-exp.1 · Synthetic demonstration data

There is room for good business.Make an introduction