Compare Adjust Fraud Prevention vs. DataVisor

Adjust Fraud Prevention is ranked 34th in Fraud Detection and Prevention while DataVisor is ranked 23rd in Fraud Detection and Prevention. Adjust Fraud Prevention is rated 0, while DataVisor is rated 0. On the other hand, Adjust Fraud Prevention is most compared with , whereas DataVisor is most compared with .
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5 views|4 comparisons
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171 views|53 comparisons
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Views
171
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53
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0
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Overview

When unchecked, ad fraud can derail your entire mobile acquisition strategy by stealing from ad budgets and skewing datasets. Many ad fraud solutions only detect ad fraud and don’t work in real-time, leaving it up to the client to fix their problems with fraud. But with Adjust’s Fraud Prevention Suite, you get comprehensive ad fraud prevention that proactively stops fraud before it happens, so you can focus on what really matters: driving growth.

DataVisor is the leading big data fraud detection solution utilizing unsupervised analytics to identify malicious account campaigns before they conduct any damage to banks, consumer-facing web sites and mobile apps. Our unique approach to big data fraud detection does not rely on prior knowledge of attack patterns – “training data” in data science speak.

The rapid expansion of consumer-facing online services has led to an explosion of user accounts, ushering in the “billion user era”. Well-organized attack campaigns are using this growth to their advantage, creating armies of fake and compromised accounts to hide in the shadows and conduct fraud against banks, web sites and mobile apps. It is challenging for trust and safety teams to stay ahead of these fraudsters since rules and models need constant maintenance and are always reacting after the damage has been done. Our approach to big data fraud detection gives you a leg up. 

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Sample Customers
viber, Ak Bank, tally, Home Advisor, AutoGravityI Got Games, Momo, Changba, Yelp
We monitor all Fraud Detection and Prevention reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.