Payment Fraud Detection & Risk Management Platform
Combat and prevent payment fraud with a combination of adaptive machine learning, rules-based fraud detection, and a dedicated team of industry experts.
AI-Powered Payment Fraud Detection Software
To keep pace with how to prevent fraud in your business, traditional rulesets are important, but they aren't enough.
Machine learning in fraud prevention is paramount to your risk strategy, continuously adapting to and identifying new patterns of suspicious behavior.
Work with a partner that offers rules-based and machine learning fraud management in one.
Rulesets Defined by a Team of Industry Experts
Rules-based fraud detection bakes in logic to block known threats, like transactions from cards issued in sanctions countries.
The humans behind the algorithms–Finix's team of subject matter experts–define and oversee fraud rulesets.
Rulesets are continuously updated to account for known threats.
Finix's Fraud team conducts quality assurance and reviews fraudulent activity flagged for decisioning.
Adaptive Machine Learning for Payments Fraud Prevention
Adaptive machine learning models are trained with hundreds of billions of network-wide data points to proactively identify ever-changing fraud patterns.
Machine learning algorithms monitor for risks like:
BIN / card testing
Suspicious activity tied to IP addresses
Known emails belonging to suspicious person(s) or businesses
Email ages
Suspicious domains
A fraud solution for every business
Standard
Advanced
Proprietary ruleset crafted by Finix industry experts | ✔ | ✔ |
Transaction fraud scores in the Finix dashboard | ✔ | ✔ |
Implementation support from Finix | ✔ | ✔ |
Machine learning fraud detection | ✔ | ✔ |
No additional integration required | ✔ | ✔ |
Fraud data insights | ✔ | ✔ |
Backtesting and rule simulation testing | X | ✔ |
Custom defined ruleset | X | ✔ |
Ongoing Finix support for custom transaction monitoring | X | ✔ |
Detect, Block & Prevent Payment Fraud in Real Time
By detecting and blocking fraudulent transactions, you can improve chargeback rates.
All transactions are screened against our expert set of fraud prevention rules and analyzed by machine learning software.
Our fraud detection API evaluates the transaction, assigns a risk score, and applies approval or block decisions.
Transactions that match any of our fraud triggers are automatically rejected.
Reduce Chargebacks & Increase Approval Rates
Finix's team and fraud services help you prevent false fraud flags, allowing more legitimate sales in the door to increase your profit margin.
Fraud and Risk Management FAQs
Payment fraud detection software is technology that monitors transactions in real time to identify suspicious activity and prevent unauthorized payments. Finix provides fraud detection tools that help businesses analyze transaction patterns, flag high-risk behavior, and reduce exposure to fraud.
Finix prevents payment fraud by combining real-time transaction monitoring, configurable risk rules, identity verification checks, and dispute management tools. Businesses can set custom controls and review flagged transactions through the Finix Dashboard or API to reduce fraud while maintaining a smooth checkout experience.
The difference between fraud detection and fraud management is that fraud detection focuses on identifying suspicious transactions, while fraud management includes the broader strategy of preventing, reviewing, responding to, and resolving fraud-related incidents. Finix supports both by offering monitoring tools as well as workflows for dispute handling and risk controls.
Machine learning improves fraud prevention by analyzing large volumes of transaction data to detect patterns and anomalies that may indicate fraudulent behavior. Finix uses advanced data models and risk signals to help businesses make more accurate, real-time decisions while minimizing false positives.
Yes, fraud prevention helps reduce chargebacks by identifying and blocking suspicious transactions before they are completed. By lowering fraud rates and improving transaction monitoring, businesses can prevent unauthorized payments and reduce disputes from cardholders.