The only fully automated fraud prevention solution
Delivering much more than fraud prevention, our solution uses a database of 175 million identities (and counting) to differentiate customers from fraudsters.
Before Forter, fraud prevention depended on slow manual reviews. In 2013, Michael Reitblat, Liron Damri, and Alon Shemesh joined forces to challenge the status quo and provide merchants with one identity management platform. Working together, they proved that full automation was not only possible but also preferable to the traditional approach and that fraud-related decisions could be issued at every customer touchpoint. The key is a unique combination of machine learning informed by human expertise and ongoing research, all of which makes our solution highly responsive to fast-moving fraudsters who continually devise new ways to steal.
Fast decisions don’t mean much if they’re wrong. That’s why accuracy is a hallmark of our solution. By continually refining it as new threats emerge, we achieve higher approval rates and lower chargeback rates. In fact, we’re so confident that we offer an optional 100% chargeback guarantee. You pay only for approved transactions — and are covered for any approved transactions that turn into chargebacks — so you have assurance we assume the risk for our decisions.
The core of our solution is a proprietary algorithm designed to detect fraud in ways that would be impossible with manual reviews.
More than 6,000 individual data points inform every decision our solution makes. Manual reviews could never examine a data set this extensive.
When combining the 6,000 data points with our identity database, the resulting network effect helps us uncover hidden connections between accounts and identities — even when they don’t have a single data point in common.
While many fraud prevention tools use rule engines, we rely on the network effect and feature engineering to help our algorithm continuously learn from every interaction.
With access to a continuously expanding identity database, our solution can easily distinguish between the customers you need to keep and the fraudsters you need to stop.
Soft-linking is what enables our solution to review numerous loosely connected attributes to understand the full context of customer behaviors and identify suspicious activity.
Data should never be served raw. It should be prepared carefully and served with a side of insight.
Learn why our solution is the only one of its kind to deliver accurate, fully automated decisions on every single transaction in real time.
Fraudsters are notoriously creative when it comes to developing new schemes. Use cases demonstrate how our solution can stop them.