Block Bonus Abuse Before It Starts

From organized fraud rings to amateur bonus abusers, prevent fraudulent sign-ups in real time to keep your revenue out of their hands.

No More Onboarding Fraudsters

  • Instantly block suspicious sign ups that use free email services or don’t have a digital footprint
  • Protect your marketing budget by preventing multi-accounting, repeat bonuses and affiliate fraud – on autopilot
  • Filter out fraudulent accounts from genuine sign ups so you can focus on managing your true customer base

Outsmart Organized Fraud Rings

  • Detect and block multi-accounting during registration to prevent fraudsters of any grade or level from signing up
  • Instantly analyze thousands of digital, device and IP signals to connect the dots and generate rich, contextual user profiles
  • Identify suspicious customer patterns such as similar password hashes or linked devices and IP addresses

Free Up Your Fraud Team

  • Save your team precious time normally spent on manual reviews by implementing automated fraud detection
  • Quickly detect unusual deposit and withdrawal transactions and minimize your business risk
  • Reduce manual reporting by creating custom lists and quickly exporting reports for faster analyses of customer profiles

Discover How Companies Win

“SEON’s data analysis significantly reduced our bonus abuse by 15% and sped up our review process by 20%. The ability to analyze and cross-reference data provided by SEON has been instrumental in identifying our genuine customers while detecting and preventing bonus abusers.”

Luigi Settimii

Head of Technology, Betflag

“Bonus hunters significantly impacted our bottom line as fraudsters exploited our referral program. With SEON’s digital footprinting technology, we’ve eradicated bonus abuse by flagging suspicious accounts early in the onboarding process, reducing users who sign up with bogus emails down to zero. This ensures our analytics accurately reflect legitimate user behavior, enhancing our customer engagement and retention strategies.”

Jacob Ortega

Chief Technology Officer, Albo

Explore More Use Cases

Digital Footprint

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.

AML Screening & Monitoring

Keep your business and your revenue safe with anti-fraud and global AML screening, continuous monitoring, and rule-setting capabilities – together in one platform.

AI & Machine Learning

Uncover complex fraud patterns and continuously improve your fraud detection with proven AI insights from whitebox and blackbox machine learning models.