Detect fraud at onboarding and during the customer lifecycle

Frictionless fraud detection checks and scores based on first-party, privacy-consented and permissioned smartphone and web behavioural metadata. Identify fraudulent applications, transactions and usage to reduce the cost of fraud.

Trusted by the World’s Biggest Brands

Anti-Fraud Insights Module

Account Takeover(ATO) Module

Fraud Scores Module

Combat first-party fraud with fraudsters-proof checks in real time on mobile and online

Device velocity

Monitor the number of times that certain devices apply for a credit card/loan within certain intervals, anomalies, or similarities to known fraudulent behaviours.

Available for:

IP Address velocity

Monitor the number of times that certain IP Addresses apply for a credit card/loan within certain intervals, anomalies, or similarities to known fraudulent behaviours.

Available for:

Outliersdetection

Detect anomalous behaviours, those that do not fit the normal statistical distribution of your customer base.

Available for:

Ideal for any digital lender, bank, neobank, BNPL and consumer finance company looking to reduce the cost of fraud, detect fraudulent applications and reduce manual verifications

Prevent malicious login attempts by detecting anomalies at user login

Behaviouranomalies

Analyse user interaction anomalies: mouse movements, scroll speed, session abandonment frequency, gesture speed, and erratic movements on the login page.

Available for:

Device anomalies

Detect device anomalies via IP analysis: mismatches in address, location or time-zone, high-risk locations or ISPs and multiple attempts in a short time.

Available for:

Browser anomalies

Detect risky logins via browser analysis: incognito mode, storage use, plug-ins, language or IP mismatch, and browser type.

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Typing anomalies

Detect typing anomalies by ranking login attempts based on correction frequency, percent of pre-filled fields, copy or paste use, typing speed or cadence, and familiarity.

Available for:

Ideal for any website that requires user login, including online banking, BNPL, e-commerce, gaming and loyalty programs

Prevent fraudulent activity with customised scorecards at user onboarding and beyond

Identity Fraudscore

Scorecards developed to predict the probability of any user to commit identity fraud.

Available for:

Loyalty Pointsabuse

Scorecards developed to predict the probability of any user to commit loyalty points abuse fraud.

Available for:

Cashback abuse

Scorecards developed to predict the probability of any user to commit cashback abuse fraud.

Available for:

Referral abuse

Scorecards developed to predict the probability of any user to commit referral abuse fraud.

Available for:

Ideal for any digital lender, e-commerce player, gaming app looking to reduce the cost of fraud and reduce manual verifications

Enriching Fraud Detection

Harness the power of checks and scores built on behavioural metadata to modernise fraud detection strategies with our seamless, cutting-edge API integration

Reduce Cost of Fraud

Seamless Integration

Detect Suspicious Devices, Behaviours

Insights Into Every Application

Approval Times

<1 Second

Real-Time Fraud Scores and Flags

Proven Results & Success

0

.

0

%

Decreased cost
of fraud

0

%

Reduced false negative and false positive

0

%

Decreased first
payment default

0

%

Reduced manual verification

Stop Fraud Before It Happens without Compromising Personal Data

SDK 30 day free trial

Get 30-days access to evaluate the integration of our solutions embedded in your app and website

Register now in 3 easy steps!

1. Fill out the form

2. Get an email with instructions on how to access and test the SDK integration

3. Access the Developer Area and test the integration

How do we fit into your business model?

Arrange a meeting with us to discuss

Embedded tools

Easy to integrate

Seamless user experience enabled by a small library of code (Android <170Kb; iOS <2Mb) that collects privacy-consented and permissioned metadata.

Frictionless user experience enabled by a few lines of JavaScript (JS) code embedded in your web page that collects privacy-consented metadata.

Case Studies

Philippines

Vietnam

United Kingdom