Question: Do you know of a tool that uses machine learning and edge computing to detect and block fraudulent transactions in real-time?

If you need a tool that combines machine learning and edge computing for real-time fraud detection and blocking, IBM Security Trusteer is a good option. The cloud-based service uses AI and machine learning to authenticate customers, identify fraud and protect against abusive users across multiple channels. It offers real-time fraud detection and a range of products, including Trusteer Pinpoint Detect and Trusteer Rapport, that dramatically lower fraud risk and customer frustration.

Another powerful option is IPQS, an AI-based fraud detection service that offers a full range of fraud prevention and bot detection. IPQS offers real-time insights through sophisticated algorithms that evaluate more than 300 data points to score and assess risk. It integrates with tools like Hubspot and Salesforce and offers tiered pricing, so it's available to companies of all sizes.

Another option is Flagright, particularly for fintechs and banks. It offers an AI-native AML compliance and fraud prevention service with automated case management, real-time transaction monitoring and AI-based risk scoring. Flagright's sophisticated algorithms spot potential problems, improve AML compliance and reduce manual work and false positives.

If you're looking for a bot management and fraud protection service, DataDome is a good option. It evaluates every request in real time with a machine learning engine trained on 5 trillion signals per day for high accuracy and a good user experience. DataDome protects against a range of online fraud attacks and offers detailed information on blocked threats, making it good for websites, mobile apps and APIs.