Fraud Prevention

Richer context. Stronger outcomes.
Fewer false positives.

Regfyl automatically builds a transaction profile for every customer, typical amount, typical location, transaction frequency, and benchmarks it against your customer cohort. That's how we know what's normal, and catch what isn't: account takeover, automated bots, mule networks and remote access tools, before they cost you.

How we know what's normal

A profile for every customer.

Typical amount, location and frequency, learned from each customer's history and compared against similar customers. A deviation is judged against what's normal for someone like them, not a static rule. Fraud databases and blacklists feed into the same profile.

Typical amount Typical location Transaction frequency Cohort benchmarking Continuously updated
portal.regfyl.com / fraud / profile
Customer profile
vs. cohort baseline · •••• 7719
Deviation detected
Typical amount ₦45,000 → this txn ₦2,400,000
Flagged
Typical location Lagos → this txn Abuja
Review
Frequency 3–4/week → this week 22
Review
Fraud database & blacklist check
Clear
What you can detect and prevent

Fraud patterns Regfyl catches, automatically.

Every pattern below is caught from customer profiling alone.

🔓
Account takeover

Unfamiliar location, an unusual amount, a new beneficiary: signals that break from the customer's profile.

🤖
Automated fraud

Sub-50ms taps and identical coordinates. No human hand moves that precisely.

🖥️
Remote access tools

Session control signatures and pointer patterns no human hand produces.

📲
Emulator abuse

Rooted devices, emulator flags and location mismatches.

🕸️
Mule networks

Rapid pass-through and shared counterparties across accounts, invisible one customer at a time.

📊
Behavioural anomalies

Unusual speed, amount or frequency, scored against the customer's baseline and cohort.

Fraud databases & blacklists

Screened against known bad actors, before anything else.

Every counterparty, domain and individual is checked against industry fraud databases and your own blacklists in real time. Blacklisted domains, flagged individuals and known fraud accounts are caught immediately, no profile needed to know they're bad news.

Blacklisted domains Flagged individuals Known fraud accounts Real-time matching API or dashboard
portal.regfyl.com / fraud / blacklists
Blacklist & fraud database check
Counterparty · •••• 3312
Match found
Domain paylink-secure.co
Blacklisted
Individual •••• 9021
Flagged
Industry fraud database
Clear
Sanctions & watchlists
Clear
Optional enrichment · for clients with a mobile or web app

Device Intelligence: one more signal in the same profile.

A lightweight SDK in your app adds tap dynamics, device fingerprint and location into the same profile. It sharpens detection, it doesn't replace it. No typed text, passwords or personal identifiers are ever collected.

Tap dynamics Paste detection Emulator flags Rooted device VPN & network type Location intelligence
portal.regfyl.com / fraud / signals
Fraud signal feed
Flagged transaction · •••• 7719
High risk
Password pasted, not typed
Flagged
New device fingerprint
Review
Sub-50ms tap detected
Bot suspected
Location matches profile
Normal
🖐️
Behavioural

Tap dynamics, dwell time and scroll depth per session. Paste versus typed detection on sensitive fields. Sub-50ms taps and identical coordinates flag automation.

📱
Device

Full device fingerprint on every app open. Emulator, rooted device and spoofed environment flags. A shared install_id across accounts is a mule ring signal.

🌐
Environmental

Location at time of transaction, when consented. Network type, VPN status, timezone and locale. Battery state, orientation and accessibility services.

Every transaction, a richer investigation.

Book a 30-minute walkthrough to see profiling and device intelligence at work in your monitoring workflow.