Learn how device intelligence helps detect fraud by analyzing real-time signals from user devices, apps, and networks.| 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
Once SEON was up and running, after only 2 months, we started seeing impressive results. In 4 months, the fraud rates dropped by over 65%.| SEON
Using email, phone, and IP data collected during onboarding, SEON crafts a highly detailed digital footprint of each user so you can detect fraudsters before KYC.| SEON
Protect your business and revenue with customer screening software for global AML checks, ongoing monitoring, and flexible rules.| SEON
You can integrate our device fingerprinting module directly into a web app, by using our JavaScript agent. Please, use our CDN hosted script to ensure you always load the latest available version. Check out our detailed information on SEON Web SDK GitHub page.| docs.seon.io
SEON is transforming how top-tier fraud and risk teams combat fraud. Our platform empowers businesses to detect and prevent potential threats before they happen. An API-first approach lets you seamlessly onboard customers while proactively monitoring activities and journeys. Our digital profiling uses unique digital and social footprints within a transparent machine-learning model. With lightning-fast real-time analysis and a comprehensive decision-making engine, your fraud teams can efficien...| aws.amazon.com
Speak with an expert Stop Fraud Before It Happens Accurately detect fraud and money laundering across the entire customer journey using thousands of device intelligence, digital footprint and compliance signals. Get started within days using a single API to fast-track fraud detection. Schedule your meeting Onboard in days, not months “SEON significantly enhanced our fraud […]| SEON
Uncover complex fraud patterns and continuously improve your fraud detection with proven AI insights from whitebox and blackbox machine learning models.| SEON