FRAUD DETECTION

Detect and prevent dealing with
fraudulent users

Data Zoo fraud detection lets you add an extra layer of trust to an
identity claim so you can detect bad actors and prevent account
takeover attacks.

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WHY DATA ZOO

Build trust with every digital interaction
while improving the user experience

Subsecond response times

Data Zoo’s biometric capabilities provide
an optimised user experience by
authenticating in less than 1 second.

100% uptime in 2021

Let your foreign-born customers onboard using their country-of-origin identity documentation and local Visa.

Improve your biometric experience

Active liveness tests create unnecessary friction for users during authentication and verification processes. With Data Zoo’s passive liveness, you can instantly detect genuine presence from the same selfie that was captured during facial matching.

Enhance biometrics with voice

Spoofing attacks threaten the security of the customer journey. Data Zoo’s voice biometrics add an extra layer to authentication processes by matching the users unique frequency characteristics against text-independent and text-dependent recognition.

Prevent fraud at login

Passwords still present a significant risk for organisations and their users. With Data Zoo, you are able to incorporate a one-time passcode to authenticate the identity of returning users before they can access your service.

INTEGRATION

Pick the integration that’s right for you

We provide easy and flexible integration options that scale depending on your use case so
that you can build and optimise end-to-end verification experiences.

SaaS

Integrated

IDUX

Get started quickly using our modular, prebuilt UI components.

SaaS or hosted delivery
Modular components
Advanced biometrics
Reusable digital identity

See IDUX details

API

Customised

IDU

Design your verification experience with complete control.

Single API integration
Data source sequencing
Enhanced business rules
Remediation services

See IDU details

FRAUD DETECTION

Detect and prevent dealing with
fraudulent users