For real-time risk assessment and fraud detection, IBM Security Trusteer has a cloud-based platform that combines AI and machine learning. It includes features such as real-time fraud detection, identity risk assessment, and compromised device detection. The platform is designed to safeguard digital logins and transactions by continuously verifying user identities and evaluating fraud risk, which can help reduce user frustration and improve security.
Another top contender is ComplyAdvantage, an AI-powered fraud and Anti-Money Laundering (AML) risk detection platform. It automates manual processes to reduce false positives and optimize compliance workload. The platform detects fraud and suspicious transactions in real-time, analyzing hundreds of known typologies and trends in customer transactions to spot anomalies, making it a scalable and efficient solution for real-time transaction monitoring.
SEON offers a fraud prevention and AML compliance platform that combines advanced digital footprinting and machine learning for precise fraud detection. It includes real-time user activity monitoring and AI-powered insights, along with account takeover prevention and streamlined compliance processes. The platform can be integrated through APIs or the AWS Marketplace and is used by more than 5,000 businesses around the world, making it a flexible fraud prevention and compliance solution.
Feedzai is another top contender, offering machine learning-based advanced financial fraud detection software. It includes tools for account opening risk assessments, digital trust through behavioral and device biometrics, and transaction fraud monitoring. This comprehensive solution is designed to safeguard customers and revenue from fraud and financial crime across industries, ensuring seamless account opening and fast fraud detection.