Question: Is there a solution that can help prevent fraud and identify devices in real-time for my e-commerce platform?

If you're looking for a more comprehensive fraud prevention and real-time device identification solution for your e-commerce site, SHIELD is a good option. This AI-based device fingerprinting service is designed to deliver persistent and accurate identification of devices, users and accounts. It employs a Device-First Risk AI approach to deliver real-time actionable device signals and continuous risk profiling. With features like a plug-and-play SDK, explainable machine-learning algorithms and a global intelligence network, SHIELD can help you eliminate fake accounts and stop account takeovers.

Another strong option is Incognia, which offers persistent device fingerprinting and indoor location intelligence to help you fight fraud. It can identify users across multiple devices even after they perform a factory reset and spot anomalies like location spoofing and app tampering. It's used by several companies across e-commerce and other industries to offer a frictionless experience for legitimate users while cutting fraud and promo abuse.

If you need a cloud-based security platform, IBM Security Trusteer is a strong option. It combines AI and machine learning to authenticate customers, detect fraud and protect against malicious users across all channels. Real-time fraud detection, compromised device detection and malware protection are among its features, designed to help you offer a seamless customer experience while minimizing fraud risk. It can help you cut user frustration and abandonment rates.

Last, Kount offers a digital trust and safety service that uses real-time AI and machine learning to prevent fraud and verify identities. It builds detailed customer profiles and offers real-time authentication options to stop new account fraud and account takeover attacks. Kount is used by a range of industries, including e-commerce, and offers flexible automation options to help you automate compliance and fraud detection processes.