Question: I need a solution that provides real-time user activity monitoring and AI-powered insights for fraud detection.

For monitoring user activity in real-time and getting AI-powered insights to spot fraud, SEON is a good option. The platform uses digital footprinting technology, machine learning and customizable rules to flag fraud and money laundering. It can monitor user activity in real-time, provide AI-powered insights for fraud detection and automate compliance processes, so it can grow with your business.

Another powerful option is IBM Security Trusteer, a cloud-based service that uses AI and machine learning to authenticate customers and detect fraud. It includes real-time fraud detection, identity risk assessment and mobile device risk assessment to protect digital logon and transactions. Trusteer's products, such as Pinpoint Detect and Mobile, offer continuous digital identity assurance and a high fraud detection rate, making it a good option for companies looking to improve security.

Sift is another AI-powered fraud decisioning platform that can help companies stop fraud without stopping trust. With tools like Account Defense, RiskWatch and FIBR, Sift offers fine-grained user-level signals along the user journey to stop account takeover, payment fraud and policy abuse. It can help companies achieve measurable growth while maintaining customer trust, so it's good for e-commerce, fintech and iGaming.

Flagright offers an AI-native AML compliance and fraud prevention platform for fintechs and financial services companies. It includes real-time transaction monitoring, AI-based risk scoring and automated case management. Flagright's AI algorithms reduce manual task hours and false positives by up to 90%, increasing productivity and AML compliance.