Process more payments safely. Stop financial transaction fraud.
Online financial transaction fraud is massive — 2020 financial crime losses in the US are estimated at $700+ billion. To fight financial fraud, you need a solution that allows you to:
Access to all the right data at the right time
Make changes quickly using a no-code UI
Use sophisticated fraud and risk models
Reduce manual reviews
Prevent account takeover without increasing user friction. Employ risk-based authentication that only triggers multi-factor authentication for high risk logins. Prevent fake accounts and synthetic identities using real-time entity resolution and real-time user behavior analysis.
Fewer disputed payments
Less reversed fees
Less regulartory fees
Prevent account takeovers and farming
Prevent identity theft
Stop bot attacks
Instantaneously flag fraudulent merchants with high risk scores and high rate of bad customers and stolen card payments. Oscilar enables you to use identity risk signals in transaction decisioning to detect fraudulent transactions accurately. Perform a complete digital footprint analysis, build a 360 degree user profile, use multiple 3rd party risk scores and harness the power of machine learning to filter out high risk behavior.
Detect high rate of stolen card payments
Detect high rate of bad customers
Use out-of-the-box integrations for 3rd party risk scores
risk management platforms at Apple, Uber and LinkedIn.