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The first step of the artificial intelligence fraud detection mechanism is to filter out basic fraud types using existing rules. Then, artificial intelligence can instantly analyze and summarize various suspicious fraud types through "self-learning", and quickly establish and Apply.

New rules to identify suspected fraud patterns that haven't bolivia whatsapp number data 5 million been seen before. Intelligence model is that compared with traditional fraud detection mechanisms, artificial intelligence can comprehensively analyze fraud behavior patterns from more diverse dimensions.

Traditional advertising fraud detection mechanisms are limited to one to three dimensions of analysis and rely on simple human-defined rules to filter suspicious traffic. However, artificial intelligence can analyze more than eighty dimensions of data and detect extremely complex advertising fraud patterns.



Even as advertising fraud models continue to advance to avoid traditional detection mechanisms, artificial intelligence models can still keep up with the evolution of fraud through self-learning and effectively prevent various new forms of fraud.