“Securing the Digital World with Mobile Identity”
“Protect sensitive data, prevent fraud, and build trust with Mobile Identity Security. Safeguard your digital realm with our robust mobile identity solution.”
In an increasingly digital world where mobile devices are our gateway to digital services, Mobile Identity Security is the fortress that safeguards your vital information. It encompasses advanced technologies and processes, ensuring that users can access digital services securely via their mobile devices. We take it a step further with additional network security features, empowered by 2-factor authentication, making mobile the second layer of defense for content, locations, services, and online transactions. Mobile identity verification is a swift and seamless process, simplifying user experiences and eliminating friction during onboarding. Join us in securing the digital future, where Mobile Identity Security meets the demands of security and simplicity.
Distinguish between landline, mobile and virtual numbers.
Uses trusted sources to drive actionable results that flag and block suspicious activity.
Allows messages to be routed to the appropriate mobile network operators to ensure successful delivery.
Builds trust that keeps your business and customer information protected using Google Verified SMS features.
Real time detection of high risk phone number events such as SIM change or porting.
Verification of identity information for a mobile number using trusted, high quality data sources.
Mobile identity is a relatively new, broad concept referring to the way that our connected devices can be tied to us as individuals. A smartphone, for example, can be linked to an end user through a saved biometric template that allows only the authorized user to access it with a fingerprint scan or a selfie. But with new developments in FinTech, the Internet of Things, and even connected cars, mobile identity technologies are playing an increasingly important role across a range of devices and form factors, from fitness-tracking wristbands to in-car AI assistants that can recognize the driver’s voice.
To put it simply, biometric technology offers stronger and more convenient security than previous authentication methods. Passwords and PINs can both be compromised or forgotten, and must be changed on a regular basis. Since consumers are using their smartphones to access their many digital accounts, having a single strong authentication factor presents an attractive level of convenience while improving security. Because a biometric system is based around who a user is and not what they know or have, it is more intuitive to use than a password – especially considering that the username/password system in place was developed for devices with a QWERTY keyboard – and much more difficult to compromise.
There are a number of solutions and mechanisms that are being used to secure identity across today’s mobile devices. There are security keys, for example, that can be plugged into the USB port of a laptop or tapped against an NFC-enabled mobile device in order to prove the end user’s physical presence during authentication. One Time Passwords, meanwhile, are increasingly being transmitted to end users’ mobile devices, allowing them to verify that they have a registered device at hand. Other important security mechanisms used in mobile identity include encryption, cryptographic hashing, trust certificates, embedded Secure Elements, and more.
On-device biometric matching is common across biometrics-enabled smartphones and a growing number of other devices. In this framework, biometric templates are stored in a secure place on the mobile device that can only be accessed by the authentication technology. Data is not transmitted to external servers; instead, the entire authentication process plays out within the device itself. While this limits the means by which an end user can authenticate – they must use the device on which they have been registered – it prevents the server-side hack attacks and data breaches that so often compromise personal data.
