Vendor directory
Public category guideIndependent directory research

Payments Fraudvendor landscape.

Payments fraud services support risk decisions across card, bank, wallet, and other payment events before or after authorization.

How the risk develops

How payments fraud happens

Payments fraud occurs when a transaction is funded, authorized, received, refunded, or disputed under false assumptions about the payer, payee, or underlying purchase.

  1. 01

    A payment credential or trust relationship is abused

    Fraud may involve stolen card details, a compromised bank account, an impersonated customer, an authorized transfer induced by a scam, or a dishonest participant.

  2. 02

    The payment is tested or disguised

    Attackers may run small authorization attempts, use a new device or address, split activity across instruments, or make a transaction resemble ordinary commerce.

  3. 03

    Funds, goods, or access are delivered

    The payment can purchase goods, fund an account, trigger a payout, move money to a mule, or grant access before the true payer or institution detects the problem.

  4. 04

    Recovery is delayed by settlement or disputes

    Refund abuse, friendly-fraud claims, chargebacks, instant payment finality, and cross-border movement can make recovery difficult after the transaction is recognized as fraudulent.

How the directory is structured

Compare the surfaces that matter to implementation.

These areas are derived from fields published in the current RiskLex vendor catalog. They are not scores or recommendations.

Published capability signals

Terms used in the directory profiles to describe the category's documented focus.

  • Card Fraud
  • Real-time Scoring
  • Network Intelligence
  • Issuer Fraud
  • Global
  • Real-time Authorization
  • Global Network
  • ML Scoring

Deployment surfaces

Ways listed providers make their capabilities available to customers.

  • Native Mastercard Network Integration
  • Native Visa Network Integration
  • Cloud / SaaS
  • API
  • Mobile SDK (Android)
  • On-Premise (select deployments)

Integration surface

Connection patterns named in the public vendor profiles.

  • Mastercard network
  • Issuer processor integrations
  • Visa network
  • REST API
  • Webhooks
  • Custom integrations
  • Core banking systems
  • Canadian payment rails (Interac, ACSS, Lynx)

Assurance and support

Certifications and support options published across the directory entries.

  • SOC 2 Type II
  • PCI DSS
  • ISO 27001
  • Dedicated CSM
  • 24/7 Support
  • Professional Services
  • GDPR
  • Email

Public vendor profiles

Payments Fraud providers in the directory.

5 profiles · no ranking implied

Payments Fraud

Mastercard Decision Intelligence

Real-time AI Fraud Scoring for Card Payments

Mastercard Decision Intelligence provides real-time AI-powered fraud scoring for card transactions across Mastercard's global payment network. By analyzing 100+ variables per transaction — including network-wide spending patterns, merchant context, and device signals — Decision Intelligence scores every Mastercard transaction in under 50ms, helping issuers make more accurate authorization decisions.

Card FraudReal-time ScoringNetwork IntelligenceIssuer Fraud
Purchase, NY (Mastercard subsidiary)View profile
Category page: payments-fraud

Payments Fraud

Visa Advanced Authorization

Global Card Fraud Scoring on the Visa Network

Visa Advanced Authorization (VAA) applies real-time machine learning to score every Visa transaction for fraud risk at the time of authorization. VAA analyzes Visa's global transaction data — 200+ billion annual transactions — combined with merchant data, device data, and behavioral patterns to generate risk scores that help issuers make real-time authorization decisions.

Card FraudReal-time AuthorizationGlobal NetworkIssuer Fraud
Foster City, CA (Visa subsidiary)View profile
Category page: payments-fraud

Payments Fraud

ThreatFabric

Mobile Banking Malware & Fraud Intelligence

ThreatFabric specializes in mobile banking fraud and financial malware intelligence, providing banks with a unified view of mobile fraud threats targeting their customers. Their platform detects mobile malware, RATs (Remote Access Trojans), and overlay attacks in real-time — combined with on-device fraud detection via their Fraud Risk Suite SDK.

Mobile MalwareBanking TrojansMobile FraudRAT Detection
Amsterdam, NetherlandsView profile
Category page: payments-fraud

Payments Fraud

Symcor Cor IQ

Collaborative Fraud Intelligence for Canadian Financial Institutions

Symcor Cor IQ is a fraud intelligence and analytics platform built specifically for the Canadian financial services ecosystem. Originally established as a shared-services utility by Canada's Big Five banks, Symcor processes billions of payment transactions annually and leverages that scale to deliver collaborative fraud intelligence through Cor IQ. The platform specializes in cheque fraud detection, payment fraud analytics, and cross-institution data sharing — enabling participating financial institutions to identify fraud patterns that would be invisible in siloed data. Cor IQ ingests transaction data, applies behavioral analytics and machine learning, and surfaces actionable intelligence for fraud investigators and operations teams. Its consortium model means FIs benefit from network effects: the more institutions share, the stronger the detection signal across cheque, wire, EFT, and digital payment channels. Symcor also provides Confirmation of Payee (CoP) and Payee/Payor verification services — validating that account names match account numbers before funds are transmitted, protecting Canadian FIs and their customers from misdirected payments and APP fraud.

Cheque FraudPayment FraudCollaborative IntelligenceConsortium Model
Mississauga, Ontario, CanadaView profile
Category page: payments-fraud

Payments Fraud

Fraugster

AI Payment Fraud Prevention for Merchants and PSPs

Fraugster is a Berlin-founded AI payment fraud prevention company specialising in real-time transaction scoring for payment service providers and merchants. The company's proprietary AI mimics human intelligence to evaluate thousands of signals per transaction — detecting fraud patterns including card-not-present fraud, account takeover, and friendly fraud — while minimising false positives that harm legitimate customer experiences. Fraugster's explainable AI model allows fraud analysts to understand why a transaction was flagged, supporting chargeback disputes and regulatory reporting. Acquired by Payone (Germany's leading payment provider) in 2023, Fraugster now forms the AI intelligence layer within Payone's payments stack, bringing advanced ML fraud prevention to a large European merchant base.

Payment FraudAI ScoringCNP FraudChargeback Prevention
Hamburg, Germany (acquired by Payone, 2023)View profile
Category page: payments-fraud

Evaluation guide

Questions to take into your own review.

Use the public directory as a starting point, then verify current facts, fit, and obligations with each provider and your internal stakeholders.

  1. 01

    Map the payment methods, geographies, lifecycle events, chargeback processes, and loss types in scope.

  2. 02

    Review decision timing, rules, models, network signals, manual review, and the evidence available after an event.

  3. 03

    Confirm support for authorization, account takeover, friendly fraud, refund abuse, and post-transaction investigation where relevant.

  4. 04

    Test approval impact, false positives, dispute workflows, integrations, resilience, and ongoing tuning responsibilities.

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RiskLex maintains this category page as independent research. Public vendor facts and capabilities may change; verify current details with the provider before making a procurement decision.

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