Best Device Fingerprinting Apps for iPad of 2026

ThumbmarkJS is a privacy-conscious and equitable fingerprinting library crafted specifically with developers in mind. Licensed under MIT, it is easily accessible through NPM or via jsDelivr, and with just a few lines of JavaScript, you can import the UMD bundle and utilize tm.get() to obtain a reliable 32-character thumbmark fingerprint. For smaller applications that demand enhanced accuracy, there is a complimentary API version available, while the Pro version offers scalable and economical solutions for extensive applications. With no complicated installation processes or intrusive tracking methods, ThumbmarkJS has successfully been adopted by over 60,000 websites, facilitating more than 1 billion identifications and enjoying around 200,000 downloads each month. The library is not only free and open source but also serves as a viable alternative to FingerprintJS. It effectively creates unique, enduring device fingerprints by leveraging web APIs like canvas, audio, and fonts, enabling the recognition of browsers across different sessions. This functionality makes it a powerful tool for developers seeking a straightforward and effective way to implement browser identification without sacrificing user privacy.

FOCAL by Mozn is an assortment of products that use our powerful AI/machine learning technology to address the challenges of AML compliance in emerging markets and Fraud Prevention. FOCAL Anti-Fraud consists of a series of products that use powerful AI to address the growing volume and complexity of Fraud in Emerging Markets. Financial institutions can now use the all-in-one AML compliance software to screen customers, monitor transactions, and assess risk.

Location Behavioral Biometrics utilizes the distinctive location-based behaviors of individual users to develop a dynamic location fingerprint that is challenging for fraudsters to replicate. This innovative approach serves as a powerful tool for financial institutions and retailers, effectively mitigating risks associated with new account fraud and account takeover. By leveraging network signals alongside on-device sensor information, our advanced location technology crafts unique behavioral patterns that facilitate accurate user identification and authentication. Notably, our solution operates without relying on personally identifiable information (PII) and functions seamlessly in the background, ensuring a secure and smooth user experience. Furthermore, it enables the validation of addresses globally through real-time location data, while also detecting location spoofing tactics commonly employed in identity fraud and account takeover schemes. Additionally, it identifies anomalies to prevent fraudulent activities such as unauthorized accounts, logins, and transactions, thereby thwarting organized fraud operations. Finally, our system empowers your identity verification processes with immediate access to location data, enhancing overall security.