Trust Every Decision.
Investigate Faster.

Combat evolving threats with adaptive AI and machine learning that powers fraud prevention and AML compliance. Gain confidence with explainable risk signals, AI summaries and pattern detection.

Accurate Risk Decisioning Begins with Unified Signals

Turn Raw Signals Into Clear Context

Get Started in Days, Not Months

  • Start detecting risk from day one with high-performing AI insights powered by 900+ first-party fraud signals
  • Combine AI insights with rules-based decisioning to catch known and emerging threats
  • See exactly which signals influenced the AI insights score to understand choices and accelerate confident reviews

Catch Emerging Threats With AI Rule Suggestions

  • Identify new risk patterns as they emerge with continuously updated AI models
  • Receive proactive AI rule suggestions tailored to evolving fraud and AML tactics
  • See how each suggested rule would perform, including the expected accuracy and transaction impact

Get Immediate Insight Into Risky Signals

  • Spend less time digging for information and more time taking informed action
  • Distill complex data and decisioning with AI summaries for alerts and transactions
  • Quickly spot high, medium and low risk factors at a glance to clearly guide investigations
  • Reduce analyst misinterpretation with consistent, easy-to-understand AI summaries that explain core signals and suggest next steps

Train Models On Real-World Results

  • Strengthen detection logic with every verified decision
  • Apply preset labeled outcomes, like synthetic identity or bonus abuse, to make models smarter, more accurate and better adept at spotting evolving risks
  • Ensure consistent labeling across teams to improve model learning and reduce bias in future decisions

Automate Your Next Move

  • Eliminate repetitive manual tasks so your team can focus on high-value work
  • Ensure faster, more consistent follow-ups after every fraud or AML decision to maintain clean audit trails
  • Instantly trigger actions like tagging users, assigning labels or updating statuses

What Our Customers Are Saying

Move From Investigation to Action Faster

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Frequently Asked Questions

What kind of companies use SEON?

SEON is trusted by over 5,000 businesses globally — from financial services, fintechs and payments to iGaming and eCommerce companies. Whether you’re a fast-growing startup or a global enterprise, SEON delivers advanced tools to help you take on fraud and AML compliance challenges.

What makes SEON different from other fraud prevention solutions?

SEON delivers real-time fraud and anti-money laundering prevention across the entire customer journey — dynamically assessing risk from pre-KYC to onboarding, login to transaction monitoring. Unlike black-box or point solutions, our transparent, API-first platform adapts to every touchpoint with precise, context-aware decisioning.

How quickly can SEON’s solution be implemented?

SEON is often onboarded within days, not months. Our guided process ensures quick setup and immediate effectiveness, allowing teams to see tangible fraud reduction shortly after starting.

Can SEON integrate easily with my existing systems?

Yes. SEON is built to be flexible from the ground up with modular APIs that allow you to pick and mix based on your business needs, while ensuring minimal disruption and instant compatibility with your existing workflows.

How effective is SEON in reducing fraud and AML risks?

Clients typically experience significant reductions in fraud and AML risks within days of deployment. SEON leverages behavioral analytics, real-time monitoring and customizable rules to identify suspicious activity and streamline compliance management proactively.

Does SEON offer services worldwide?

Yes, SEON delivers a real-time fraud prevention and anti-money laundering solution globally, with offices in London, Budapest, Jakarta and Austin. SEON provides localized support and expertise across Europe, North and South America and Asia-Pacific, helping you fight fraud no matter where your business operates.

What are SEON’s top five use cases?

SEON is widely used for:

Bonus Abuse & Multi-Accounting
Detects linked accounts using digital fingerprinting and social signal profiling, preventing fraudulent exploitation of promotions, especially in iGaming and eCommerce.

Pre-KYC Screening
Scores risk signals (email, phone, IP) before full KYC checks, enabling early fraud detection and optimizing compliance costs.

Login Monitoring
Identifies account takeovers by analyzing behavioral anomalies and device/browser fingerprints during login events.

Transaction Monitoring
Provides real-time scoring at the point of transaction using a custom rule engine and supervised machine learning to flag suspicious activity before it causes loss.

Onboarding Fraud Detection
Helps verify identity and spot fake or synthetic profiles during account creation using OSINT-enriched data and automated decisioning.