Fraud Management for Retail and E-Commerce

Prevent promotion abuse, mass-registered fake accounts, and account takeover in real time. Eliminate fraud losses and provide great experiences to loyal customers.

Try the award winning platform to accelerate your fraud prevention and detection today.

"DataVisor is cool for inverting this philosophy by putting the unsupervised machine learning approach in the forefront. Its clients benefit by being able to rapidly identify previously unseen fraud attacks and by not having to spend time and resources refreshing their fraud detection models regularly."

- Gartner Cool Vendors in Identity and Access Management and Fraud Detection

Continuous Protection for Your eCommerce Platform Throughout the Entire Customer Journey

Protect your platform and inspire trust by enabling seamless and secure commerce, from account creation to payments, shipping and reviews.

Solutions for Every Fraud Type

Promotion Abuse

Prevent financial loss, preserve brand reputation, and ensure valuable promotions reach real customers.

Account Takeover

Protect good customers by uncovering large-scale ATO attacks in real time, and safeguard existing accounts against new and emerging fraud.

Fake Accounts

Proactively block the mass registration of fake accounts to prevent downstream financial loss, brand damage, and customer churn.

Advanced Capabilities, Outstanding Performance

Scalability

Block fake buyers and sellers at large scale, and stop payment fraud. Track, detect, and prevent malicious actions initiated by bots, device farms, and human farms.

Unparalleled Accuracy

Predict and prevent promotion abuse and fraud attacks with 99%+ accuracy. Detect, deter, and prevent e-commerce fraud with consistency and confidence.

Real-Time Production Readiness

Deploy machine learning models to directly operate on production data. Detect new fraud attacks with no need for labels or historic data.

"With DataVisor and unsupervised machine learning, we were able to identify and stop mass-scale fraud attacks before they had any effect on our users."

Steve Knopf

|Vice President of Trust and Safety

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