Fraud Management for Digital Commerce

Prevent payment fraud, promotion abuse, mass-registered fake accounts, and account takeover in real time.

Complete Protection Throughout the Entire Customer Journey

Modern fraudsters can take advantage of any touchpoint along your customer’s journey to exploit your business. A one-time risk assessment can’t stop them. DataVisor leverages device intelligence, rules, machine learning, linkage analysis and bot detection to assess risk at every touchpoint, from account creation to payments, shipping and reviews, to safeguard your business and protect your customers.

MARKETPLACE Customer Lifecycle_Large

Solutions for Every Fraud Type

Payment Fraud

Payment Fraud

Reduce chargebacks and prevent checkout fraud. Enable a frictionless purchase experience.

Fake Accounts and ATO

Uncover account takeovers and massive account registrations ahead of time. Block fraud before losses materialize.

Promotion Abuse

Capture abuse activities to promotions and loyalty programs. Catapult growth with promotion strategies that reach the right hands.

Rapid Integration. Faster Time to Value.

Achieve quick and quantifiable ROI with easy-to-integrate, highly scalable fraud solutions.

Reduce Fraud Losses and Stay Ahead of Fraudsters

Detect emerging fraud patterns with a robust suite of solutions including machine learning, rules, device intelligence, case management and linkage analysis.

Delight Customers and Drive Topline Revenue

Approve more good customers and ensure promotions go to real people. Achieve 99% accuracy and reduce false positive rate to less than 1%.

Scale to Keep Pace with Rapid Business Expansion

Provide day-one protection for new business, without relying on historical data. Scale infinitely and grow with your business.

The DataVisor Platform

Data Integration

Ingest structured and unstructured data from omnichannel

Feature Engineering

Create advanced fraud features to enhance models and rules

Detection

Defeat fast-evolving fraud patterns with adaptive machine learning

Decision

Take actions in real time to mitigate fraud and delight good customers

Analytics

Review cases with a linkage view and uncover new fraud patterns