Yandex's Neural Networks Detect Fraudsters Seven Times Faster

197,000 Accounts Blocked in Six Months

Yandex has shared its experience using neural networks to identify and block fraudulent accounts. Since the first half of 2024, 197,000 malicious users have been identified. Fraudsters were attempting to place ads on Yandex Direct.

We currently use about a dozen different ML models to detect fraudsters. Each has its own specialization and training frequency. For example, one identifies phishing, while another can cover a wide range of suspicious advertising in general.
Alexey Goncharov, Deputy Director of Quality at Yandex

He explained that, compared to the previous period, neural networks have become eight times faster at blocking malicious actors. The company is retraining existing models and creating new ones.

In addition to detecting and blocking fraudsters, Yandex uses neural networks to identify prohibited alcohol advertising and checks the licenses of advertisers in medical-themed ads.

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