Fraud Prevention Software to Protect Your Business Growth

SEON is the leading fraud prevention solution that connects 900+ first-party data signals to detect, stop and prevent fraud in real time across your entire customer journey.

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Unified Fraud Prevention Approach

Pre-Screening Bad Actors Through Digital Footprint Analysis Before KYC

  • Email, phone, IP and device data are enriched with real-time intelligence to assess risk before onboarding.
  • Shared infrastructure links insights to help uncover bots, synthetic identities, and large-scale account farms.
  • Behavioral and social patterns highlight coordinated fraud threats before users complete KYC.
SEON fraud prevention software showing customer digital footprint
SEON fraud prevention software showing alert details for account takeover

Real-Time Detection of Payment Fraud and Account Takeovers

  • Device, IP and behavioral intelligence helps identify and stop account takeovers before they escalate.
  • Adaptive scoring, velocity checks and machine learning insights detect high-risk transactions in real time.
  • Suspicious activity patterns are analyzed and escalated automatically for immediate review.

Faster Case Investigation Through Contextual Data

  • Enriched customer context from over 900 data signals helps reduce false positives and speed up investigations.
  • Cases can be annotated, documented, and shared across teams with audit-ready histories that reduce review times.
  • Centralized customer risk intelligence provides unified visibility for fraud and AML teams.
SEON case dashboard with enriched data and team collaboration tools
SEON dashboard unifying fraud, risk, and AML tools with flexible policies and audit trail.

Unified Compliance and Fraud Prevention Solution

  • A single platform brings together fraud prevention and AML compliance, eliminating the need for siloed tools.
  • Customizable risk policies support enterprise-scale operations and align with your business objectives.
  • Centralized audit trails ensure clear, consistent reporting across fraud and compliance teams.

Fraud Prevention Across Different Risk Scenarios

Bonus Abuse

Real-time screening detects repeated or coordinated bonus misuse to protect revenue.

Fake & Synthetic IDs

Digital footprint analysis uncovers fake or synthetic identities before registration.

Account Takeover

Device and behavioral monitoring highlights unusual logins to block unauthorized access.

Payment Fraud

Adaptive scoring detects high-risk payments without blocking genuine users.

Registration & Onboarding

Data-driven checks identify fake users early, protecting growth and customer experience.

Login & Activity Monitoring

Social engineering attacks happen, but you can keep customer accounts safe.

Transaction Monitoring

AI-driven analysis detects fraud and risk in real time across millions of transactions.

Chargeback Fraud

Automated workflows manage chargebacks efficiently, reducing effort and recovering more revenue.

What Fraud Prevention Teams Are Saying

Fraud Prevention FAQs

How does SEON’s fraud prevention software work?

SEON analyzes over 900 real-time signals from device, IP, email, phone, and behavior to build a risk profile at every customer interaction. These signals are scored and evaluated through customizable rules and machine learning. Fraud is prevented across the entire customer journey. This includes registration, login, transactions, and escalations. All risk events are tied together through a unified scoring engine with transparent explanations for every decision.

Can SEON detect account takeover (ATO) and synthetic identity fraud?

Yes. SEON flags account takeover attempts by detecting unusual login behavior, device changes, and Remote Access Tool (RAT) usage. Device intelligence identifies mismatches in browser hashes, spoofed environments, and emulators. SEON also uncovers synthetic identities using digital footprint gaps, behavioral anomalies, and missing social signals. This helps you catch fake or manipulated identities both before and after onboarding.

Does SEON’s fraud prevention solution help reduce false positives?

Yes. SEON is built to minimize false positives without sacrificing accuracy. It combines real-time enrichment, adaptive scoring, and machine learning to distinguish legitimate users from fraudsters with greater precision. You can also label transaction outcomes like approve, decline, or review. These labels train SEON’s ML model using your own data, improving accuracy over time.

Can I customize fraud detection rules without coding?

Yes. SEON’s rule engine lets you create, adjust, or clone rules using a no-code interface. You can control scoring thresholds, add exceptions, or test changes live. SEON also provides AI-suggested rules based on fraud patterns observed in your environment. This helps you optimize detection with less manual effort.

How does digital footprint analysis improve fraud prevention?

Digital footprint analysis verifies whether a user’s identity is real and consistent. SEON checks online signals tied to email, phone, and IP, including social media presence and domain history across 250+ platforms. These signals are extremely hard to fake. Combined with device intelligence like browser fingerprinting and spoof detection, SEON delivers a layered approach that improves accuracy and catches hidden fraud.

What types of payment fraud and chargeback fraud can SEON prevent?

SEON helps stop card testing, stolen card abuse, bonus abuse, and transaction laundering. It detects suspicious patterns in withdrawals, top-ups, and purchases using behavioral signals, device fingerprinting, and velocity rules. These tools work in real time to prevent losses and reduce chargeback rates.