Best Device Fingerprinting Software for JavaScript

Empower your teams in risk management, fraud detection, and marketing to enhance their decision-making processes by utilizing sophisticated behavioral analytics derived from smartphone and web metadata. Join over 150 financial institutions, including banks and emerging fintech leaders, already leveraging the CredoLab platform to augment their data and discover new revenue streams for lasting growth and innovation. The platform is designed for easy integration into your existing products, offering unmatched real-time data-driven solutions tailored to your business requirements. Experience improved predictive capabilities, a 100% hit rate, reduced risk costs, and elevated approval rates. Access essential top-of-the-funnel data, conduct real-time device velocity assessments, and utilize behavior-driven predictive scores for enhanced decision-making. Engage users more effectively with marketing campaigns that are tailored to their personalities and desired outcomes. Gain detailed and immediate behavioral insights for a comprehensive understanding of your user base. Once integrated, it provides significant value throughout your organization and can operate independently or as an enhancement to current risk, fraud, and marketing strategies, ensuring a holistic approach to business challenges. This versatility allows organizations to adapt and thrive in an ever-evolving market landscape.

Our platform, powered by machine learning, provides immediate visibility into your traffic, enabling you to recognize users even if they attempt to conceal their identities. It effectively identifies attacks and bots, offering a wealth of real-time analytics while employing cutting-edge identification methods. Compatible with leading browsers and programming languages, our service allows seamless user identification across various devices and platforms. The culmination of our thorough identification process results in a detailed response that includes a unique and persistent identifier for each device, ensuring consistent recognition of users throughout different sessions. Additionally, you will receive in-depth insights regarding the client's device, which are derived from our sophisticated fingerprinting methodologies and machine learning evaluations. This extensive data encompasses various parameters such as browser versions, operating systems, and potential threat assessments, providing an all-encompassing overview of user interactions. Ultimately, this empowers businesses to make informed decisions based on user behavior and device characteristics.

Utilize more than 25 distinct data metrics for comprehensive device fingerprinting insights that assess both risk and device characteristics. The Device Fingerprinting solution provided by IPQS offers an exceptional fraud detection mechanism that can uncover even the most sophisticated fraudsters, malicious individuals, and cybercriminals. By analyzing over 300 data points, such as operating systems, screen resolutions, and installed fonts, it effectively detects counterfeit devices, location manipulation, and suspicious activities associated with a user’s digital footprint. This technology enables the identification of bots, automated actions, device impersonation, and other indicators that suggest potential fraudulent intentions. You can implement JavaScript device fingerprinting for web platforms or leverage our SDKs designed for mobile applications on both iOS and Android operating systems. With its robust risk scoring capabilities, IPQS accurately pinpoints fraudulent accounts, chargeback attempts, credential stuffing incidents, and automated behaviors indicative of abuse. Furthermore, the Device Fingerprinting solution from IPQS can uncover sophisticated fraud tactics, including the use of the latest emulator software, thereby providing a comprehensive defense against evolving threats. This advanced detection system not only enhances security but also helps companies maintain trust with their legitimate users.