Learn about velocity checks, how they detect rapid transaction patterns, and implementation tips for fraud prevention.| SEON
Here’s how to spot high-risk users using data enrichment and digital footprint analysis – before they can damage your business in the long run.| SEON
Find the best fraud detection software. Compare 10 leading tools with AI, real-time monitoring, and AML features to protect your business.| SEON
Discover the principles of digital footprinting, how it uncovers online fraud patterns, and best practices for analysis.| SEON
Unsure how to choose the best fraud detection and prevention tools for your business? Your complete guide is here.| SEON
Better fraud prevention starts with better fraud scoring. Here's how it works, and where you could improve yours with a whitebox system.| SEON
It seems machine learning technology is particularly effective in these fields. The algorithms know how to look for patterns in data, extract them and apply rules that refine themselves overtime. So does that mean you can just go ahead and invest in ML (machine learning) to solve all your fraud detection needs? Not necessarily.| SEON
Reducing fraud often means using different solutions. At SEON, we have created a new way for device fingerprinting. Read here why it works against fraud.| SEON
Whitebox machine learning explanation. How is it different from blackbox machine learning? Why is it better for fraud detection & prevention?| SEON
Browser fingerprinting gathers hundreds of data points about your users' devices and browser configurations. But how does it stop fraud, and is it enough?| SEON
Identity theft is now among the biggest concerns related to cybercrime. These 2024 identity theft statistics reveal some startling trends.| Comparitech