Question: Is there a cybersecurity platform that offers advanced fraud protection and traffic analysis for merchants and payment aggregators?

If you need a fraud prevention and traffic analysis system, DCBprotect stands out. It's designed for mobile network operators, merchants and payment aggregators trying to fight technical fraud on carrier billing. It uses a variety of sophisticated cybersecurity technologies, including ultrahigh definition 3D footprint, edge computing, polymorphic encryption and machine learning. DCBprotect has a detection rate of 99.94% with a latency of less than 100ms, so it's fast and accurate.

Another good option is Sardine, a fraud prevention and compliance system that combines deep device intelligence and behavioral biometrics to spot a broad range of fraud patterns. It can be used for identity fraud prevention, account takeover, payment fraud and anti-money laundering. Sardine uses machine learning models trained on more than 4,000 features to spot fraud patterns. It also has a no-code rule editor and customizable fraud detection rules, so it can be used in a variety of ways to cut fraud rates.

IBM Security Trusteer is another good option that uses AI and machine learning for real-time fraud detection and authentication. It offers a range of products, including Trusteer Pinpoint Detect, Trusteer Pinpoint Assure, Trusteer Mobile and Trusteer Rapport, that offer strong fraud protection across all channels. The system is designed to avoid user frustration and abandonment by continuously evaluating user behavior for fraud risk, so it's a good option for companies that want to improve customer experience and security.

If you're looking for a system that's geared to maximize revenue while minimizing fraud, Vesta offers sophisticated risk scoring and machine learning technology to make real-time decisions on transactions. The system includes options like Payment Protect and Payment Guarantee that help ensure transactions are safe and secure. Vesta's multi-layered approach combining AI and ML helps spot anomalies and patterns, making it a good option for eCommerce retailers, financial services companies and other businesses.