Device ID Verification Solution

Over the last three years, data breaches nearly doubled. Compromised Device IDs have become a huge issue across different industries ranging from online banking to lenders and iGaming platforms.

However, it is not only businesses that suffer from suspicious user behavior. More and more ordinary users started losing confidence in digital platforms when their private information was compromised. It means loss of trust, decreased loyalty, and lower revenues.

This is where device ID verification solutions appear to be the game changers. They help companies improve the onboarding process as well as establish a solid level of trust. Oppositely, poor device IDs verification can lead to disastrous consequences for businesses not to mention compromised users’ data.

In this article, we will show you how technologically advanced device ID verification tools can help companies sort out potentially fraudulent mobile users and establish a more efficient risk-assessment strategy.

Importance of Device ID Verification

To understand the importance of device ID verification, let’s first figure out what a device ID actually is. We all use mobile devices to access various services and products on the fly. Online vendors need to identify every unique user somehow.

So, they actually use a device ID. It is associated with an anonymous string of symbols (numbers and letters) that provide mobile devices (smartphones, tablets, or wearables) with their unique identity.

However, fraudsters tend to mimic device IDs to take advantage of different products and services delivered online. They use different randomization techniques, perform identity thefts or account takeovers to pass the stage of device ID verification, and access a platform as fake mobile device users. It results in financial losses for businesses and sensitive users’ information being compromised. In 2022, only in the USA, more than 1,800 data compromises were officially recorded.

Companies need a digital device ID validating technology that would let them know who their customers really are. Identity verification becomes essential to any safe online ecosystem when it comes to the process of digitalization.

Device ID Verification Types

The problem is that businesses sometimes fail to select the right solution that totally meets their needs. To make things a bit simpler, we highlighted three major types of device IDs verification. They are as follows:

1. Online Device ID Verification. The approach helps to identify mobile users through an individual's online presence. These digital footprints involving e-commerce and social media activity can be quite informative. Although it's simple and efficient to use, concerns about data privacy and identity theft are still quite arguable.
2. Biometric Device ID Verification. The methodology relies on scanning or facial recognition. While faking a user’s face can be a challenge for fraudsters, biometric verification is a security bulwark. On the other hand, scammers learn how to overcome biometric requirements. Fraudulent technologies help them mimic people’s faces and even voices. What’s more, there's an issue of initial setup, which can be difficult and resource-consuming.
3. Data Device ID Verification. Database-based iOS or Android device verification retrieves essential info from a range of sources and databases. It can be completed quickly and in real-time. Furthermore, consumers aren't being asked to go above and above to offer more information.

Selecting the most suitable option can be a challenge for companies while not having any can lead to serious risks.

The Risks of Poor Device ID Verification

Integration of an identity verification system involves careful planning and a fine balance. The majority of companies tend to prioritize strict security measures over the user experience. Although user data security is important, a cumbersome process might turn off clients and lower engagement.

Companies frequently make mistakes when selecting solutions that aren't flexible or scalable enough. Your identity verification software should be able to expand with your company, saving you the trouble and expense of regular system upgrades. This is actually what JuicyScore offers. Otherwise, businesses will inevitably suffer from niche-specific risks.

Security Implications

Without advanced ID verification, companies will fail to fortify their digital ecosystem against fraud risks. As a result, it leads to extra operational costs, the inability to meet regulatory compliance or deliver crucial competitive advantages. It all leads to growing losses and a lower level of trust.

User Experience Factor

Choosing the right balance between security and enhanced customer experience is another dilemma for businesses. They fail to establish a proper balance when selecting between heavy-weight or light ID verification solutions. In the end, the bulky verification process leads to decreased loyalty. Clients look for a simpler and faster way to access available services.

JuicyScore Device ID Verification Solution

Device IDs verification is a fundamental component of operations for companies across different online industries. Anti-fraud tools are needed to ensure security and compliance due to the increase in digital interactions.

JuicyScore is an advanced technology developed to protect both clients and businesses across a variety of industries. Online banking, lenders, e-commerce and iGaming platforms can benefit from our ultimate anti-fraud toolkit that utilizes new-gen technological stack blended with pour expertise and partner’s experience. Our mission is to deliver a high-end solution that meets different business needs.

Leveraging AI for Secure Verification

Advanced AI and machine learning technologies are the core of JuicyScore. It is a complete set of fraud prevention solutions designed to assist companies in fighting back against scammers.

• New-Gen AI-Driven Algorithms. The software builds an accurate end-user profile based on a range of tech data and behavioral aspects by utilizing hundreds of various device authentication parameters.
• ML-Powered Strategies to Reduce the Risk of Fraud. Risk detection is performed automatically and on the spot. The system uses hundreds of the user's device's settings, attributes, and indicators to compute technical metrics. They aid in the surveillance and evaluation of the network infrastructure.

Real-Time Verification

By utilizing the JuicyScore data vector, we construct an adaptive evaluation mechanism. It helps online platforms gather enough information to assess of customer accounts, their operating system infrastructure, Android and iOS device connectivity, etc. Its primary goal is to make decision-making more efficient.

The application functions as a guide for digital safety. It is a component of a larger fraud prevention toolset that also contains algorithms to detect device manipulation and randomization. This is how the scoring model-based system generates values.

Our solution uses authentication procedures to accomplish broad tracking automatically. It is possible to quickly identify and stop fraudulent activities like multiple accounts, data randomization, virtualization of devices, and credential theft.

Key Features

JuicyScore serves as a digital anti-fraud assistant. It assesses integrated indices and parameters automatically. Technology implementation reduces fraud risk by leveraging several data sources. They automatically assess every possible cyber threat and produce the fundamental technological and behavioral fingerprints required to build a comprehensive digital profile.

The solution totally matches the GDPR, CCPA, or AML requirements. Our team holds regular integrated compliance checks and automates procedures like data retention policies. It not only reduces fraud risks but also saves time, and make sure your business verification procedures do not counteract with current requirements.

Device Fingerprinting

The software examines a number of significant and secondary parameters that can be associated with potentially fraudulent activities. For the best device fingerprinting, JuicyScore can keep an eye on important device-assisted metrics.

Crucial parameters that enable precise fingerprinting are included in our data vector featuring RAM, screen size, display quality, type of carrier (tablet, desktop, laptop, or mobile), and more.

Risk Scoring

The system alerts businesses to any abnormality or unusual activity detected. It sends “red flags” to notify of potentially fraudulent access. Teams can learn about different routing techniques, remote access, randomization or possible device cloning, stolen or fake identity, etc.

How Our Solution Works

JuicyScore evaluates the technological and behavioral data. It processes a number of factors that involve a variety of aggregated criteria, including dwell/flight times, average typing or content reading rates, devices used for extended periods of time on the same source, duplicated or randomly selected devices, and other behavioral data that is noteworthy.

Simple Integration Process

The system is extremely easy to use and integrate. No special requirements are needed. We developed product versions for mobile and desktop platforms depending on your business type and customers’ outreach. All you need is to install the script or SDK. The solution will start gathering and processing data in seconds.

Proactive Alert System

Every time an anomaly is detected, the system will send notifications. Businesses see the results of the scoring model and decide on how to act in each specific situation. JuicyScore helps to improvise risk-assessment strategies and ensures more effective decision-making.

Get Started with JuicyScore Today

Our expert team is happy to assist at every stage of the JuicyScore implementation process. Start using our advanced anti-fraud solution in 3 simple steps:

1. Install JavaScript or SDK on your platform.
2. Complete simple configurations depending on your business needs.
3. Start collecting and analyzing the data in seconds.

Feel free to contact us and schedule a demo.

FAQs

What is account device ID verification?

It is the process to ensure that a mobile user trying to access an online service or product is not fraudulent. The technology is used to analyze digital footprints left by every mobile device.

What is the typical method of device ID verification?

Generally, there are 3 major types of device ID verification. The first one involves online-based verification. The second considers using biometric data for online analysis. Data-based verification is the third type of ID check.

What are some common indicators of device ID fraud?

Fraudsters can use fake IDs or stolen sensitive data. They also tend to randomize or mimic users’ devices. The anti-fraud system looks for any possible anomalies, which means there is a risk of fraud if suspicious activities are detected.