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Fingerprint

Identify every visitor, secure every interaction

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Fingerprint is a cutting-edge device intelligence platform designed to identify and understand visitor intent across more than 250 countries and territories.

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General information about Fingerprint

Fingerprint is a state-of-the-art device intelligence platform designed to revolutionize online security and user authentication. With its advanced technology, Fingerprint empowers businesses to identify and understand visitor intent across more than 250 countries and territories. The platform offers over 100 bleeding-edge signals, meticulously crafted by a world-class research team, to provide unparalleled insights into user behavior and device characteristics.


At its core, Fingerprint's mission is twofold: to reduce friction for legitimate users while effectively stopping malicious actors. This delicate balance is achieved through a sophisticated array of features, including VPN detection, IP geolocation, high-activity device identification, and browser bot detection. By leveraging these tools, businesses can create seamless experiences for genuine customers while maintaining robust security measures against potential threats.


Fingerprint's versatility is evident in its wide-ranging applications, from fraud prevention and account security to personalized user experiences and compliance adherence. The platform processes an immense volume of real-time device intelligence API events daily, demonstrating its scalability and reliability in high-stakes environments.


What sets Fingerprint apart is not just its technological prowess, but also its open-source foundation. This transparency has led to widespread adoption, with even competitors utilizing Fingerprint's open-source components as a testament to its effectiveness.


Discover how solutions like Fingerprint can transform your approach to visitor identification and fraud prevention by checking out the offers available on our marketplace today.

See alternatives to Fingerprint like Cloudflare or Auth0.

Fingerprint features

Advanced device intelligence for fraud prevention and user authentication.

  • IP geolocation

    Provides precise geographical information about visitors, enabling targeted content delivery, compliance with regional regulations, and detection of suspicious access patterns.

  • High-activity device identification

    Detects devices exhibiting unusual levels of activity, potentially indicating automated scripts, bots, or fraudulent behavior for further investigation.

  • Raw device attributes

    Offers detailed technical information about visitor devices, allowing for in-depth analysis and creation of custom risk models tailored to specific business needs.

  • IP blocklist matching

    Compares visitor IP addresses against known malicious IP databases, providing an additional layer of security against potential threats.

  • Geolocation spoofing detection

    Identifies attempts to mask true geographical locations, helping maintain the integrity of location-based services and security measures.

  • Browser bot detection

    Recognizes automated browser activity, distinguishing between human users and potentially malicious scripts or crawlers.

  • VPN detection

    Accurately identifies and flags VPN usage, helping businesses detect potential location spoofing and maintain geographical restrictions or content delivery policies.

  • Android tamper detection

    Identifies modified Android devices, helping protect against potential security vulnerabilities and unauthorized app modifications.

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Fingerprint: Pros & Cons

Pros

  • Comprehensive device intelligence: Fingerprint offers a wide range of signals and data points, providing a holistic view of visitor devices and behavior.
  • Global coverage: With identification capabilities in over 250 countries and territories, Fingerprint ensures broad applicability for international businesses.
  • Open-source foundation: The platform's open-source components foster transparency and continuous improvement, benefiting from community contributions.

Cons

  • Evolving threat landscape: As fraudsters develop new techniques, continuous updates and adaptations are necessary to maintain effectiveness against emerging threats.
  • Implementation complexity: Integrating advanced device intelligence may require significant technical resources and expertise for optimal utilization.
  • Potential privacy concerns: Extensive device fingerprinting may raise privacy issues for some users, requiring careful consideration of data collection practices.