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
Payments fraud services support risk decisions across card, bank, wallet, and other payment events before or after authorization.
How the risk develops
Payments fraud occurs when a transaction is funded, authorized, received, refunded, or disputed under false assumptions about the payer, payee, or underlying purchase.
Fraud may involve stolen card details, a compromised bank account, an impersonated customer, an authorized transfer induced by a scam, or a dishonest participant.
Attackers may run small authorization attempts, use a new device or address, split activity across instruments, or make a transaction resemble ordinary commerce.
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.
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
These areas are derived from fields published in the current RiskLex vendor catalog. They are not scores or recommendations.
Terms used in the directory profiles to describe the category's documented focus.
Ways listed providers make their capabilities available to customers.
Connection patterns named in the public vendor profiles.
Certifications and support options published across the directory entries.
Public vendor profiles
Payments Fraud
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.
Payments Fraud
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.
Payments Fraud
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.
Payments Fraud
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.
Payments Fraud
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.
Evaluation guide
Use the public directory as a starting point, then verify current facts, fit, and obligations with each provider and your internal stakeholders.
Map the payment methods, geographies, lifecycle events, chargeback processes, and loss types in scope.
Review decision timing, rules, models, network signals, manual review, and the evidence available after an event.
Confirm support for authorization, account takeover, friendly fraud, refund abuse, and post-transaction investigation where relevant.
Test approval impact, false positives, dispute workflows, integrations, resilience, and ongoing tuning responsibilities.
Open Vendor Scan when you are ready to work through your institution context, control needs, payment rails, and existing stack. This public page does not expose personalized outputs.
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.
RiskLex vendor directory