Solution · Fraud Detection
Fraud Detection
Every signal.One risk engine.Real-time defence.
工作原理
One engine that turns identity, behaviour, device and screening signals into a live, explainable risk decision.
Connect what you already have
Point verifications, transactions, logins and session events at one API. Nothing bespoke, the app signals you already collect become risk inputs, resolved to the right customer automatically.
Every signal folds into a trust score
Monitoring, screening, device intelligence and biometrics fold into a dimensional, explainable trust score per customer that decays over time and moves as their behaviour does.
Policies decide in real time
A no-code decision graph reads the score and the raw signals to allow, review, decline or challenge, synchronously, with no batch job and no engineering ticket to change it.
Your team investigates and reports
REVIEW and BLOCK decisions raise alerts that roll up into cases; reportable activity becomes a regulator-ready goAML SAR on a tamper-evident trail.
背后的支撑
Every event, a transaction, login, session or action, is scored the moment it arrives against rules you tune per tenant and custom rules you author with no deploy. Transactions get the AML rules (velocity, structuring, geo, anomaly); logins and sessions get the account-takeover rules.
Frequently asked
KYC verifies who someone is at sign-up. Fraud detection keeps working afterward: scoring every transaction, login and action against a living risk profile, re-screening customers as watchlists change, and catching takeover and coordinated fraud that a one-time check can't see.