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
Combat first-party fraud with fraudsters-proof checks in real time on mobile and online
Monitor the number of times that certain devices apply for a credit card/loan within certain intervals, anomalies, or similarities to known fraudulent behaviours.
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.
Detect anomalous behaviours, those that do not fit the normal statistical distribution of your customer base.
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
Analyse user interaction anomalies: mouse movements, scroll speed, session abandonment frequency, gesture speed, and erratic movements on the login page.
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.
Detect risky logins via browser analysis: incognito mode, storage use, plug-ins, language or IP mismatch, and browser type.
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.
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
Scorecards developed to predict the probability of any user to commit identity fraud.
Scorecards developed to predict the probability of any user to commit loyalty points abuse fraud.
Scorecards developed to predict the probability of any user to commit cashback abuse fraud.
Scorecards developed to predict the probability of any user to commit referral abuse fraud.
Ideal for any digital lender, e-commerce player, gaming app looking to reduce the cost of fraud and reduce manual verifications
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
Detect Suspicious Devices, Behaviours
Insights Into Every Application
Real-Time Fraud Scores and Flags
Proven Results & Success
Reduced false negative and false positive
Reduced manual verification
Stop Fraud Before It Happens without Compromising Personal Data
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
Easy to integrate