Soluciones de huella de dispositivo

"SEON tiene la mayor cantidad de puntos de datos que puedes obtener de un solo dispositivo."

G2 4.2 rating

Identifica usuarios con base la configuración de su sistema

Una imagen puede decir más que mil palabras, pero los dispositivos de los usuarios pueden decir incluso más. La huella de dispositivos de SEON utiliza cientos de puntos de datos para ayudarte a identificar a tus usuarios y acabar con los grupos de estafadores.

Mira cómo funciona

Explora nuestros Hashes

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Comprobamos configuraciones sospechosas

  • navegadores de privacidad
  • esoluciones de pantalla inusuales
  • entornos extraños
  • modo incógnito, jailbreaks, Tor, VPNs
  • máquinas virtuales
  • perfiles de navegador sospechosos
  • extensiones anti huella digital
  • herramientas de
  • bots, herramientas de automatización y testeo

Conoce cómo SEON combate el fraude

Combate todo tipo de amenazas de fraude

Huella del
dispositivo

Examinar el hardware y software del usuario es la mejor forma de entender cómo se conectan los usuarios en tu sitio. SEON aprovecha este cofre del tesoro de información para identificar usuarios recurrentes, detectar vínculos ocultos entre cuentas y marcar los inicios de sesión sospechosos.
Entre más datos tengas, mejor protegido estás. Al investigar cientos de puntos de datos en tiempo real, la huella de dispositivos de SEON fortalece ampliamente tu seguridad.
Aprovéchalos para automatizar tus defensas y mejorar tu seguridad en línea sin ralentizar a tus mejores clientes. Reconoce qué tan riesgoso es un usuario para que puedas aceptar los ingresos y registros legítimos instantáneamente con fricción mínima, e introduce verificación adicional y autenticación únicamente cuando te enfrentes con usuarios más riesgosos.

Preguntas frecuentes

¿A qué industrias puede ayudar la huella digital del dispositivo?

La huella del dispositivo es útil para cualquier industria sujeta al fraude, lo que hoy en día desafortunadamente contempla a todas, desde el iGaming hasta el fintech, el ecommerce, el boletaje y más. En cuanto a los casos de uso, incluyen identificar a los estafadores durante la etapa de registro y pre-KYC, reducir el abuso de bonificaciones, asegurar los pagos y proteger las cuentas de usuario de los robos de cuentas.

¿Dónde puedo encontrar más información sobre este módulo?

La base de conocimiento de SEON contiene toda la información que necesitas para comenzar con la huella digital de dispositivos. También puedes consultar nuestra guía de APIs o leer más sobre los detalles técnicos en este artículo sobre la huella digital de dispositivos.
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"As soon as our staff used SEON on a regular basis, they could see its value. It immediately started saving them time as they didn’t have to trawl through the usual checkpoints. So much so, that the time spent by Air France analysts on manual reviews is down by an impressive 70%. Instead, all the information they needed was on one screen with a simple scoring system enabling them to see if a transaction was real or not."
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Eric Facquet
Deputy Manager of Fraud Prevention
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"The most useful thing for us was to be able to see if the email and phone numbers weren’t registered anywhere. We also rely on the device fingerprinting metadata in our scorecard to filter out junk users. We immediately saved about 6% of costs on our automated KYC checks. After only 2 months, we started seeing impressive results. Up to 3 times fewer cases of defaulting customers in new regions such as Romania and Europe. 4 months later, the fraud rates dropped by over 65%."
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Sergey Bogdanov
Chief Risk Officer
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"We were looking at another provider, but they came back to us with a 4-6 months integration window. With SEON, it was literally a phone call, sandbox tests on Monday and by the end of the week, it was done. One other thing I’d like to comment on is the pricing model. It’s really 2022, like for scaling together. The SEON model, it’s now one we actively look for with our other partners. Clearly an organization that approaches work and its customers in a different way."
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Coert Snyman
Senior Analyst
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"I tested some extra rules, and over a few months I managed to push SEON’s auto approval from an initial accuracy of 95% unto 99.5%. Taking the time to update your SEON rules is an investment that gives great results. And the best thing is that we can do so without deploying any software. From an engineering perspective, it is extremely time and resource saving, allowing us to react much faster."
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Phillipp Keller
Senior Product Manager
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"I couldn’t believe how fast the results came,” says Gergely. “Our chargeback rates dropped by 91% in one month only.” Moreover, the number of manual queries and fraud catch rates continued to improve after the initial 30 days as the system adjusted itself – part of the benefits of deploying a machine-learning algorithm to fine-tune accuracy."
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Gergely Kálmán
CEO
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"SEON allows us to stay one step ahead as by keeping advantage players at bay we are able to continue offering competitive bonuses with low wagering requirements to our players,” Daniel says. “And the fact that SEON team are so open to feedback and implement the feedback quickly gives us as their client a significant advantage which we couldn’t find with other competitors in their field."
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Daniel Saliba
Head of Compliance
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"It wasn’t just the technology that’s great though, the education side of things helped us understand the types of tactics and patterns used by fraudsters and put rules into place to prevent them."
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Stacey Pickering
Head of Operations
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"We deployed SEON both on our website and web app to gather device data as well as IP and email information. It was unbelievably fast, both in terms of integration and results. In 4 days only, our fraud rates were pretty much down to 0."
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Lewis Bye
Senior Projects and Operations Specialist
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"We overlay SEON’s digital and social lookup with device fingerprinting to get a good indication of whether the phone or tablet belongs to the actual client. We can instantly filter out obvious fraudsters with no digital or social presence, and we get better intelligence to automate our decision making."
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Juris Rieksts-Riekstinš
Head of Risk

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huella del dispositivo

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