Block fraud, not legitimate customers

Cut down on false positives and reduce the need for manual review by utilizing smarter tools to weed out fraud.

Request a demo

Real-time scoring

Rather than waiting until checkout to provide a risk score, our scoring engine continuously updates its analysis as each user interacts with your site. This means that you can evaluate all users, not just customers who make a purchase.

Behavioral analytics

Go beyond static data points to analyze behavior and pre-session data, which includes how users arrive to your site and how they behave once they get there. Our algorithm continuously adapts to new fraud behavior patterns, and compiles hundreds of data points in real-time so you can make better decisions about fraud.

Identity verification

Utilize SMS, email, and other verification steps as well as third-party integrations to verify suspect orders. The level of impact on the user can be customized and is adjustable based on the score each user is given.

Benefits of order fraud protection

Real-time scoring

User scores continuously update based on both behavioral analytics and static data points, which work together to catch more fraudulent traffic.

Behavioral Analytics

Payment data and known attributes are combined with behavioral analytics to provide a more holistic view of each user.

Pre-session Data

Pre-session data helps to catch fraud earlier by identifying the patterns of each user based on the actions that lead them to your site.

Cost-effective protection

Where other fraud prevention services require a significant amount of time and money before providing a return on investment, our platform grants results immediately.

Request a personal demo

Get a personalized walk-through of our customizable fraud prevention solutions.

Request a demo

Resources

Order rules boost bottom line for designer bag company
Case Study
Order rules boost bottom line for designer bag company

Like many ecommerce companies, Lily Jade was struggling to balance fraud prevention with the need to not deny any of their good customers. Looking for a fraud prevention solution that would offer them customizable options at an affordable price, they came to NS8.

Health food company cuts out ad and order fraud
Case Study
Health food company cuts out ad and order fraud

When fraudulent orders grew to the equivalent of over half their monthly online revenue, LonoLife needed a solution, fast. By using NS8, they identified the source of their fraudulent traffic and eradicated it.

Deep analytics help online marketplace streamline fraud decisioning
Case Study
Deep analytics help online marketplace streamline fraud decisioning

As their volume of orders grew to thousands each month, TheDrop.com realized their existing fraud solution lacked the necessary data for them to conduct timely reliable reviews. To keep pace with skyrocketing demand for their products, they turned to NS8 for help.