For real-time fraud detection and prevention, IBM Security Trusteer is a comprehensive solution. With AI and machine learning, it authenticates customers, identifies fraud and protects against malicious users on all channels. Real-time fraud detection, compromised device detection and malware protection capabilities help to prevent unauthorized access and user frustration while providing a scalable, agile cloud-based solution.
Another top contender is IPQS, an AI-based fraud detection system that offers real-time insights through sophisticated algorithms analyzing over 300 data points. Proxy and VPN detection, email verification, phone validation and fraud scoring are all included to help you stop fraudulent transactions before they happen. IPQS integrates with popular platforms and offers flexible pricing options, including a free tier, so it can be used by businesses of all sizes.
SEON also offers a powerful fraud prevention and Anti-Money Laundering (AML) compliance platform. With advanced digital footprinting and machine learning, it offers real-time user activity monitoring, account takeover prevention and customizable fraud detection rules. SEON is designed to simplify compliance and is used by over 5,000 businesses, so it's a scalable option for a wide range of industries.
Last, Kount offers a digital trust and safety solution that uses real-time AI and machine learning for fraud prevention, chargeback management and identity verification. It builds detailed customer profiles and offers real-time authentication to help businesses stop new account fraud and account takeover attacks. Kount is used by thousands of brands across many industries, so it's a flexible and customizable option for addressing specific fraud prevention needs.