A cost-effective online identity verification service
With the growth of AI and digital platforms, tackling issues like multiple accounts and fraudulent users has become a major challenge in industries such as online ticket reservations and gaming. Fraudulent users threaten platform reliability in various ways, including creating numerous accounts through macro programs or compromising systems with illegal transactions.
To solve these social issues, ARGOS' ID check service integrates AI-based fraudulent user detection and risk assessment with an all-in-one identity verification solution, reducing customer workload and achieving cost efficiency.
Increasing difficulty in distinguishing advanced macro users from regular users
Recently, as more regular users acquire macro programs to gain advantages by creating multiple accounts or attempting to use them illegally, differentiating between fraudulent users and legitimate users has become more challenging.
For instance, large ticketing platforms and sports betting sites often face attempts to create multiple fake accounts using macros to secure tickets to popular events. When a large number of fake accounts are used to acquire tickets, these users may later attempt to "resell excess tickets" for illegal profit.
These sophisticated fraudulent users are increasingly difficult to identify through pattern analysis alone, reducing opportunities for other users to buy tickets and severely damaging platform trust.
ID check provides a comprehensive solution that detects and blocks fraudulent user activities in real time during the initial verification process, employing AI-based macro detection and IP risk assessment. This allows platforms like ticketing services to maintain their reliability and protect the user experience.
ID check is a user identity verification solution that has recently evolved to integrate fraud user blocking and risk assessment. Traditional identity verification methods struggle to identify users with multiple accounts. In online gaming, for example, users sometimes create fake identities by establishing multiple accounts across various IPs or uploading AI-generated images.
Differentiated Fraud User Blocking in online Identity Verification (ID check)
Advanced Risk Assessment and Cost Reduction Through Extensive Data
ID check analyzes and predicts user behavior based on large volumes of data gathered from diverse identity verification processes.
For instance, online sports betting platforms can monitor user behavior to proactively block unusual access. With ARGOS' AI-based IP Risk check and macro detection features, clients can reduce authentication costs by up to 40% or more by preemptively blocking fraudulent users.
These options can be activated and deactivated directly from the user authentication screen through ARGOS, eliminating the need for additional development.
Specialized Identity Authentication Security with a Customized Machine Learning Model Based on User Behavior
ARGOS plans to develop and provide customized machine learning models that can identify fraudulent users by analyzing user behavior patterns tailored to each customer. Leveraging the vast data collected through identity verification processes unique to each client, ID check aims to go beyond a standardized approach by learning the diverse user patterns associated with each industry, ultimately offering models specialized for each sector.
This approach is expected to bring substantial advantages to enterprise clients with large user bases.
For example, user patterns on a sports betting platform differ from those on a ticket booking platform, necessitating distinct models. These models will be integrated into future versions of ID check, enabling security solutions that are optimized for individual clients based on their unique user behavior.
Comprehensive Machine Learning
Given the sophistication of unauthorized user tactics, such as emulators and deepfakes, it is challenging to fully detect fraudulent users with a single AI technology.
For instance, as shown in the image below, gaming platforms often face attempts to create multiple accounts using fake IDs.
To prevent sophisticated fraudulent users, a single technology alone has its limitations; thus, a comprehensive machine learning approach that integrates various AI techniques is essential.
ID check is a B2B SaaS solution designed to detect more advanced fraudulent users through multi-layered machine learning analysis based on extensive data collected from users.
A online identity verification service, "ID check," that prioritizes customer cost optimization.
As previously explained, ID check analyzes and predicts user behavior through extensive data gathered from various identity authentication processes. Through this, we aim to effectively reduce customer costs by implementing a pre-blocking process from the initial stage of verification. In the graph above, you can see that after introducing ARGOS' service, high-risk users were blocked, and attempts at fraudulent activity were significantly reduced.
This approach minimizes cost burdens by reducing unnecessary verification steps, resulting in a cost reduction of approximately 43% for the customer.
For example, on an online sports betting platform, high-risk users can be blocked preemptively to prevent fraudulent betting while significantly lowering overall authentication costs. In the future, ARGOS will continue to implement updates to help customers use the identity verification process more effectively.
Customer-Tailored Identity Verification and Customization Services
Introduction of a Customer-Tailored Self-Training System
ARGOS can learn the behavior of fraudulent users through a self-training system tailored to each customer's characteristics, building an automated detection model based on this data.
For instance, a concert ticketing platform can provide a security structure that learns the patterns and images accessed and submitted by fraudulent users, blocking them in advance.
This system allows ARGOS to meet each customer’s specific security needs by providing AI models customized for each customer. Additionally, the more ID check is used, the more feedback it receives, allowing the model to evolve and become better suited to each platform’s unique user base.
Freedom to Design Customer-Specific Identity Verification Processes
ID check offers customers the flexibility to design their preferred identity verification steps. For instance, a gaming platform may require a higher level of security than the average user.
ID check can customize the verification process to meet these needs, providing an optimized identity verification experience through machine learning analysis of collected data. Customers can easily build tailored solutions to meet various verification requirements, enhancing both operational efficiency and security.
ARGOS Identity’s ID check is a comprehensive and flexible solution for addressing fraudulent user issues, delivering optimized security for ticketing platforms and the gaming industry. Particularly in cases where even regular users attempt to secure multiple accounts using macro programs, distinguishing fraudulent users through basic pattern analysis alone proves challenging. ID check effectively blocks sophisticated fraudulent users through extensive data and AI-based advanced analysis.
Looking forward, as the customized machine learning model currently in development for ID check is implemented, we plan to offer even more sophisticated detection features tailored to meet our customers’ unique security needs.