The solution is based on real-time big data analysis and machine learning, which integrate multi-dimensional data for automatic fraud detection and early warning. By employing a multi-dimensional analysis, the system integrates early warning, accurate prevention, multi-level dissuasion, detection, and crackdown measures to construct a comprehensive prevention and control system for anti-telecom fraud. The integrated system offers a comprehensive approach to fraud prevention and control, integrating anti-fraud information, early warning of fraud, analysis of fraudulent clues, blocking of fraudulent domain names, and demonstration of the results of dissuasion.
Product Highlights
The system automatically aggregates clues of fraud from a variety of platforms and analyzes them in an integrated manner.
It leverages one of the largest blacklisting databases for anti-telecom fraud and employs sophisticated network data analysis capabilities to perform comprehensive automatic detection of fraud-related clues across diverse data sets.
The system is designed to identify the locations of victims and promptly notify them via an automated victim identification process.
It also provides individuals at high risk of being victims of fraud with prevention and early warning functions, utilizing targeted anti-fraud feeds.