SEON Fraud Prevention

About SEON Fraud Prevention

SEON Fraud Prevention is an AI-driven platform that helps businesses identify and prevent fraudulent activities in real-time. The solution combines behavioral analytics, device fingerprinting, and data enrichment to detect anomalies and flag high-risk transactions with precision.

SEON's platform integrates seamlessly into payment systems, customer onboarding, and authentication workflows, offering flexible and scalable protection against a wide range of fraud types. This solution empowers organizations to reduce losses, improve decision-making, and maintain customer trust while streamlining operations.

Key features include:

- Digital footprinting: Utilizes email, phone, IP, and device data to create detailed user profiles, enabling fraud detection before KYC processes
- Real-time monitoring: Analyzes transaction patterns in real-time using AI to identify and deter risks early
- Machine learning: Combines transparent whitebox and powerful blackbox AI models to detect emerging fraud patterns and provide actionable insights
- Customizable risk rules: Offers adaptable rules to match specific regulatory requirements and evolving business needs
- Multi-channel protection: Safeguards the entire customer journey from onboarding to transactions
- Extensive data sources: Provides insights from 90+ digital and social sites, device intelligence, IP and BIN lookups, and card checks
- AML compliance: Includes screening for politically exposed persons, sanctions, crime lists, and adverse media
- API integration: Offers quick integration with existing systems through a single API connection

SEON provide several good case studies on their website. Below are some examples:

1) tbi bank, a digital-first bank in Southeast Europe, sought to balance fraud and credit risk while scaling its operations. Before SEON, they struggled with high manual review times, limited customer insights, and insufficient data for accurate credit scoring. SEON's digital footprinting technology provided deeper insights into customers' digital behaviors, enhancing tbi bank's machine learning models. This led to a 5% increase in customer approval rates, improved onboarding efficiency, and a better customer experience. By leveraging alternative data sources, tbi bank effectively managed risks while fostering growth and trust among its clients.

2) Noteable, a data analytics platform, faced challenges from fraudulent users exploiting its system for cryptojacking. Initially relying on manual reviews and basic email validation, Noteable needed a more comprehensive solution to maintain platform security. SEON provided an API-driven, customizable solution that drastically reduced fraudulent sign-ups by 96% and sped up manual reviews by 93%. By fine-tuning SEON's scoring engine, Noteable effectively blocked fraudulent users while ensuring a frictionless experience for legitimate customers, reducing cloud compute costs and increasing confidence in transaction decisions.

3) Revolut, a leading digital bank operating in 39 countries, faced the challenge of scaling globally while maintaining robust fraud prevention measures. Before SEON, they struggled with limited data for fraud detection, particularly CNAME and digital footprinting insights. By integrating SEON, Revolut enhanced its machine learning models with enriched data, improving fraud detection accuracy by 2%. This seemingly modest gain was crucial in preventing fraud that would have otherwise gone undetected. SEON's affordable, API-driven solution helped Revolut scale effectively while maintaining high prevention accuracy and managing operational costs efficiently.

4) Lottoland, a prominent iGaming operator with over 19 million customers, grappled with fraud issues such as account takeovers, bonus abuse, and chargebacks. Manual fraud detection processes caused inefficiencies and disrupted user experiences. SEON’s real-time data and machine learning-backed rules enabled Lottoland to automate fraud prevention, reducing manual review hours by 50 per week. The platform also increased multi-accounting detection by 190% and stopped 10% more fraudulent sign-ups. With SEON, Lottoland improved operational efficiency, safeguarded marketing investments, and enhanced customer experiences, ensuring compliance with gambling regulations.


SEON offers three distinct pricing plans tailored to businesses at various stages of growth, ensuring flexibility and effective fraud prevention.

- The Trial Plan is a risk-free option designed for individuals, startups, or small businesses who want to explore SEON’s core capabilities without a long-term commitment. This plan includes 500 manual fraud checks per month, email support, and self-serve onboarding for a quick setup. Users also get a 30-day trial to access all features of the Starter Plan, making it a great way to jump-start fraud prevention efforts.

- The Starter Plan, priced at $699/month, is ideal for small to medium-sized businesses ready to enhance their fraud detection capabilities. Building on the Trial Plan, it supports up to 10 team members, includes 1,000 API calls per month, and allows the implementation of 50 custom rules to tailor fraud prevention strategies. With API integration for automated workflows and same-business-day expert support, this plan ensures scalability and efficiency for growing businesses.

- For larger organizations requiring comprehensive solutions, the Premium Plan offers unlimited scalability and advanced features with custom pricing. It includes everything in the Starter Plan, plus unlimited API calls, custom rules, and team member access. This plan also features concierge onboarding for a personalized experience, high-volume always-on access, and priority support, including weekends and holidays. Additionally, businesses benefit from a dedicated Fraud Strategist, priority access to SEON’s newest products, and tailored risk models to meet their unique needs.

Which use-cases can SEON Fraud Prevention be deployed for?

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