Question: Is there a system that can analyze user behavior and score transactions for risk to help prevent fraudulent activity?

If you need a more powerful system to analyze user behavior and score transactions for risk to avoid fraud, IBM Security Trusteer is a good option. The cloud-based service uses AI and machine learning to spot fraud in real time, assess identity risk and detect when a device has been compromised. It offers several modules, including Trusteer Pinpoint Detect, Trusteer Pinpoint Assure, Trusteer Mobile and Trusteer Rapport, to monitor user behavior and protect digital logon and transaction processes.

Another contender is Forter, which offers an Identity Intelligence platform that makes real-time decisions for every customer interaction. Its modules include Identity Protection, Fraud Management, Payment Optimization, Chargeback Recovery and Abuse Prevention. Forter's platform has reduced chargeback rates by 72% and false declines by 46%, so it's worth a look if you want to maximize customer lifetime value while minimizing fraud.

Sift is another option for businesses trying to stop fraud and grow responsibly. Its AI-powered fraud decisioning platform is used by more than 700 brands around the world, spanning industries and tackling fraud problems like account takeover and payment fraud. Its modules include Account Defense, RiskWatch, Workflow Simulation and FIBR, which help businesses measure growth and keep customers trusting and secure.

Last, Flagright offers an AI-native AML compliance and fraud prevention platform for fintechs, banks and other financial services companies. It offers automated case management, AI-based risk scoring, real-time transaction monitoring and customer risk assessment. Flagright's platform uses advanced AI algorithms to improve AML compliance and fraud prevention, including real-time and risk-based transaction monitoring.