Product Payments Fraud
Real-time fraud detection
Fraud moves faster than a review queue. Decide in the moment, and keep the reasons.
What it does
Real-time scoring
Score logins, payments and other events as they happen.
Device and behaviour
Recognise risky devices, emulators and bots, and behaviour that does not fit the account holder.
Fraud typologies
Detection for account takeover, authorised push payment scams, money mules and chargeback fraud.
Fraud rings
Expose groups of accounts connected by shared identities, devices and details.
Rules in plain English
Describe a rule in words, then backtest it on past data before it goes live.
Consortium signals
Share fraud signals with other participants without exposing personal data.
A fraud signal on an account raises its owner’s AML risk as well. One record, both teams.
Also in Payments
- Transaction monitoringDetect suspicious patterns by comparing activity with how each customer normally behaves.AML
- Crypto and the Travel RuleScreen wallet addresses, assess counterparty VASPs and produce Travel Rule messages.AML
- Cases, SARs and regulatory reportsInvestigate in one case workspace, draft the narrative, approve with four eyes and produce the report file.AML
Next: Agentic investigation (Accounts)
See it on your own cases.
Access is by request while we onboard our first customers. Tell us about your programme and we will walk you through the platform.