If you're looking for a system that spots fraud and suspicious transactions in real-time to try to keep customers from being disrupted, ComplyAdvantage is a strong contender. The AI-based fraud and Anti-Money Laundering (AML) risk assessment system automates time-consuming manual processes to cut false positives and free up compliance staff to do more important work. It spots transactions involving suspicious countries, currencies and behavior in real time to cut onboarding time and improve screening effectiveness.
Another strong contender is IBM Security Trusteer, a cloud-based information security system that uses AI and machine learning to authenticate customers and spot fraud across all channels. It spots fraud in real time, assesses identity risk and spots compromised devices so customers can move through the system without a hitch while keeping out criminals. Trusteer spots fraud more than 90% of the time and issues a false positive alert less than 0.05% of the time, so it can help businesses grow while keeping digital logins and transactions safe.
SEON is another fraud prevention and AML compliance system that uses digital footprinting, machine learning and customizable rules. It spots suspicious behavior in real time and offers AI-powered insights to improve fraud detection. It can be used to automate fraud checks and ensure regulatory compliance. More than 5,000 online businesses use SEON, so it's a good choice for businesses of any size.
For a broader system, Kount offers real-time AI and machine learning-based fraud prevention, chargeback management and identity verification. It builds detailed customer profiles to help businesses understand their customers and operate in a secure environment. Kount's system is customizable for different industries and is designed to help businesses comply with industry regulations, making it a good choice for businesses that want to improve their fraud detection and prevention.