Choosing an Advanced Device Fingerprinting SDK
Choosing an Advanced Device Fingerprinting SDK
Device advanced device fingerprinting SDK is a key component of advanced fraud prevention, helping to protect digital transactions and combat attacks like multi-accounting, account takeover, digital onboarding abuse, payment fraud and bonus abuse. However, collecting the right data points and accurately interpreting them to deliver reliable outcomes can be difficult because of the broad range of device types, operating systems, screen resolutions, browsers, sensor information and other factors. To help combat these challenges, fingerprinting solutions use carefully designed test scenarios that simulate dynamic environments to improve accuracy and resilience.
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Using these real-time device signals, sophisticated algorithms combine the attributes to create a unique device fingerprint. This is used to identify specific devices, rather than users, enabling more accurate and precise recognition in dynamic environments. This can double detection accuracy, ensuring malicious devices are identified without frustrating legitimate users with high-friction verification steps such as suspicious login verification.
In addition to identifying devices, advanced fingerprinting methods can also identify the relationships between them. This can significantly reduce the number of false positives, improving the reliability of authentication. It can also enable more accurate detection of a wide variety of attack types, including credential stuffing, brute force attacks and phishing.
Choosing the right device fingerprinting SDK starts with clearly defining your objectives and use cases for this technology, such as fraud detection or user identification. This helps you build an effective solution that reflects best practices and adheres to the requirements of your industry, such as ensuring compliance with privacy regulations. It also ensures you can clearly and transparently disclose how this technology works to help engender user trust.
