Intuitive Chargeback Protection & Transaction Scoring
Proactive Payment Fraud Detection Adapted To Your Audience
Prevent payment fraud with the experience over 10 years of anti-fraud technology. IPQS is quick to recognize emerging patterns of payment fraud so your company is protected from the latest threats in addition to the usual suspects. All of our algorithms operate with your audience in mind, to provide the best experience for your users.
Real-Time Detection for High Risk Users & Transactions
IPQS transaction scoring algorithms look deeper than the transaction and also analyze the user quality, so any unusual or high risk activity will be detected in real-time and isolated. Set appropriate behavior rules depending on the event, such as blocking a transaction, canceling an order, requiring additional user verification, or similar actions.
10x Less Costs, 40% Greater Accuracy
It's the best of both worlds: better accuracy with better pricing. Similar services require hefty onboarding fees, yearly contracts, and 10x greater monthly costs while providing a less accurate service and inferior fraud protection.
Automate Quality Control For Payments & Transaction
Set it and forget it! Once you deploy IPQS anti-fraud tools, your transactions will automatically be scored & filtered without requiring human interaction. Our risk analysis data can also supplement any existing filters or rules that you currently use to manage fraud, allowing them to operate with greater accuracy and more confidence.
Flexible Settings & Pattern Recognition
Adjust over 20 settings and manage custom rules to personalize scoring for your audience. This allows your legitimate users to never be impacted by false-positives and ensure high risk transactions are successfully flagged. Machine learning algorithms that monitor your transactions ensures that risky patterns of behavior are properly identified.
Intelligent Data Fusion
We learn a lot from the hundreds of millions of transactions scored daily by IPQS. Tap into IPQS network of fraud monitoring and prevent fraudsters that have previously engaged in malicious behavior. Machine learning algorithms and AI extract trends and behavioral patterns from this data to ensure that emerging fraud rings and newer types of abuse are quickly detected.