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Stop bad charges before they become chargebacks

Risk scoring and rules work quietly at authorization time—legitimate shoppers barely notice; risky patterns get challenged or blocked.

How protection shows up

Machine learning plus controls you can tune as you learn your traffic.

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Models trained on payment behavior

Signals from device, velocity, and history combine into a score per attempt.

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Approve, review, or decline—automatically

Set thresholds so obvious fraud never settles and edge cases hit a human queue.

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Rules where you want certainty

Country lists, amount caps, or MCC quirks—codify what you already know about your business.

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Decisions in milliseconds

Checkout stays fast for customers who look like customers.

What merchants usually measure

Fewer disputes, fewer manual reviews, more good orders sailing through.

Outcomes teams track

  • ✓High capture of confirmed fraud attempts
  • ✓Material drop in chargeback volume for many merchants
  • ✓Sub-50ms scoring so latency doesn’t tank conversion

Revenue vs. friction

  • ✓Fewer false positives than blunt “block entire countries” rules
  • ✓Lower manual review headcount as automation improves
  • ✓Policies you can adjust without a code deploy

Curious how aggressive to set controls?

We’ll balance your vertical, ticket size, and appetite for review work.

Talk to risk