Question: Is there a way to create a persistent device ID that can't be spoofed by customers trying to masquerade as first-time visitors?

If you're looking for a way to generate a persistent device ID that can't be spoofed, Incognia is a strong contender. This identity solution combines persistent device fingerprinting with indoor location intelligence to fight fraud and ensure a trusted digital journey. It can identify users across multiple devices, even after they perform a factory reset, and can spot anomalies like location spoofing and root/jailbreak. It's used by companies in food delivery, ride sharing, financial services, and other industries that benefit from frictionless risk solutions, user verification, and listing verification.

Another strong contender is Accertify, which offers a digital fraud detection system that connects identities across digital channels to identify repeat customers and prevent fraud. By collecting hundreds of data points and applying machine learning algorithms, Accertify creates a persistent device ID. The system is designed to improve the customer experience across mobile and browser environments while protecting against suspicious activity and bot activity through user behavior analytics.

If you prefer a more AI-based approach, SHIELD is an AI-based device fingerprinting solution designed to fight fraud and build trust. It uses a Device-First Risk AI approach to identify and trust devices, users and accounts, providing continuous and accurate risk profiling. SHIELD is used in industries like ride-hailing, e-commerce and digital banking to eliminate fake accounts and prevent account takeovers.

Hitprobe is another strong contender, offering browser fingerprinting and threat detection. It can identify repeat visitors and flag suspicious behavior, providing a persistent device ID that resists user attempts to appear as a new visitor. Its features include client-side device detection, a simple API and real-time counts of device and IP occurrences, making it useful for a variety of use cases including signup and onboarding, and chargeback fraud prevention.