Case Studies

Account Takeover

Top Online Payments Platform Uses DataVisor UML Solution to Stop ATO Attacks

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This top online payments platform was experiencing a doubling of ATOs year over year. Read this case study to learn how DataVisor found an additional 50% of ATO fraud on top of the platform’s existing in-house detection solution.

How DataVisor Helped:

The identified linkage between malicious accounts to catch all members of the fraud ring.
Detected new types of attacks without labels or training data.
Leveraged digital signals such as IP addresses, proxies and data centers, user agent strings, and more.

Trusted by Leading Brands

"With DataVisor and unsupervised machine learning, we were able to identify and stop mass-scale fraud attacks before they had any effect on our users."

Steve Knopf

Vice President of Trust and Safety

About DataVisor

DataVisor is the leading fraud and risk management platform powered by transformational AI technology. Using proprietary machine learning algorithms, DataVisor restores trust in digital commerce by enabling organizations to proactively detect and act on fast-evolving fraud patterns, and prevent future attacks before they happen. Combining advanced analytics and an intelligence network of more than 4B global user accounts, DataVisor protects against financial losses and reputational damage across a variety of industries, including financial services, insurance, marketplaces, ecommerce, and internet platforms.