Fraud Detection
Every signal.One risk engine.Real-time defense.
Fraud isn't one check — it's a moving target. Myaza scores every customer and every action across four layers at once: real-time event monitoring, watchlist screening, device and signal intelligence, and a living trust score. Here's how it works — and how your team puts it to work.
How it works
One flow,end to end.
One engine that turns identity, behaviour, device and screening signals into a live, explainable risk decision.
- 1
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.
- 2
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.
- 3
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.
- 4
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.
What powers it
The layersunder the hood.
Real-time event monitoring
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.
Sanctions, PEP & adverse media
Screen every customer at onboarding and re-screen on a risk-based schedule against sanctions, PEP and adverse-media lists across 200+ jurisdictions — sanctioned crypto wallet addresses included.
Device & signal intelligence
Device fingerprinting and IP analysis surface multi-accounting, emulators, datacenter IPs and velocity — plus account-takeover signals like a brand-new device or a country hop too fast to be travel.
A living trust score
Every signal folds into an explainable fraud-risk and identity-confidence score, with the top factors always shown. It decays over time and moves as the customer does — never a black box.
Decisions that act
A visual decision graph branches on the score and the raw signals to approve, review or decline — or automatically mint a step-up re-verification challenge instead of blocking a good customer.
Alerts, cases & SAR filing
Repeat firings roll into one alert, alerts group into cases with four-eyes controls, and reportable activity exports as goAML XML — the whole investigation on a tamper-evident audit trail.
Products involved
Built fromthe platform.
This solution combines products you can use on their own too.
Frequently asked
Fraud Detectionquestions.
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.
Fraud Detection,solved.
Sandbox-ready in minutes. Usage-based pricing, no sales call.