Rich sources of intelligence, complete intelligence dimensions, and high real-time intelligence
Comprehensive risk identification capabilities, highly interpretable results of risk identification, and rich integration capabilities for all-scenario marketing activities
Visualized risk control and operation platform, verifiable effectiveness of risk control strategies, and powerful risk data analysis capabilities
One-stop risk control disposal toolbox, flexible configuration of disposal strategies, and convenient and reliable risk forensics
Precise defense against risks such as machine registrations, bulk registrations, maintaining spam accounts, and false registrations, facilitated by the use of illicit practices like virtual number platforms, batch scripts, and registration bots
Protection against automated systems attempting to forcefully crack user passwords for account theft. Timely detection of credential stuffing risks through multiple dimensions, including account details, devices, and login behaviors
Prevention of abnormal login behaviors such as remote logins, logins from unusual devices, login attempts from proxy IPs, and logins via emulators
To prevent automated bot attacks, including SMS toll fraud, use NEXTDATA Bot Detection Engine to intercept bots before they can reach SMS workflows, preventing them from triggering mass dissemination of SMS texts
This complete evolutionary cycle encompasses real-time awareness of black-market dynamics, pattern discovery, data characteristics, model iterations, gray-scale validation, business interception, and case-based learning. Real-time stream processing is used to achieve real-time updates of models and behavioral profiles, thus creating a sub-second iteration global SaaS risk control service network
Deeply integrating models such as GCN, Node2V, Louvain, GAN, GBS, LSTM, and more to construct a full-stack model system, thereby preventing false positives and false negatives associated with a single model, and achieving high accuracy in fraud detection
Utilizing techniques such as group mining, correlation analysis, time-domain analysis, machine learning, deep learning, and drawing from over a decade of professional risk control and anti-fraud experience across multiple industries, we have built an extensive and complete strategy system to comprehensively identify business risks
Utilizing industry-standard API interfaces for easy and simple integration, while also benefiting from the sub-second iterations and self-upgrading capabilities offered by the SaaS cloud service model