If you're looking for an AI-based fraud detection system to flag and block suspicious transactions, IPQS is a good all-purpose option. It provides real-time insights through sophisticated algorithms that scrutinize more than 300 data points to generate a scoring and risk assessment. With features like proxy and VPN detection, email verification and fraud scoring, IPQS can help businesses reduce fraud and improve cybersecurity. It integrates with many popular tools like Hubspot, Salesforce and Outreach, so it's available to companies of any size.
Another good choice is IBM Security Trusteer, which uses AI and machine learning to authenticate customers and spot fraud across all customer interactions. It includes real-time fraud detection, identity risk assessment and malware protection to help businesses reduce the likelihood of unauthorized access. Trusteer products are designed to protect digital logins and transactions so customers can have a frictionless experience while Trusteer continuously evaluates user behavior to flag fraud risk.
For companies that want to grow their business without fraud without undermining trust, Sift has a more powerful AI-based fraud decisioning platform. It's designed to handle fraud problems like account takeover and payment fraud with detailed user-level signals across the user lifecycle. Sift's tools include Account Defense, RiskWatch and FIBR, which can help businesses cut costs and achieve measurable growth.
Forter also has a good fraud management tool with its Identity Intelligence platform. It can make real-time decisions for every customer interaction to block fake accounts, payment fraud and policy abuse. With Identity Protection, Fraud Management and Chargeback Recovery, Forter is designed to maximize customer lifetime value while minimizing risk, which can be useful for companies trying to run their digital commerce operations at the highest level.