Adjust Fraud Prevention vs DataVisor comparison

Cancel
You must select at least 2 products to compare!
Adjust Logo
44 views|31 comparisons
DataVisor Logo
172 views|131 comparisons
Executive Summary

We performed a comparison between Adjust Fraud Prevention and DataVisor based on real PeerSpot user reviews.

Find out what your peers are saying about NICE, ThreatMetrix, FICO and others in Fraud Detection and Prevention.
To learn more, read our detailed Fraud Detection and Prevention Report (Updated: March 2024).
765,234 professionals have used our research since 2012.
Ranking
Views
44
Comparisons
31
Reviews
0
Average Words per Review
0
Rating
N/A
Views
172
Comparisons
131
Reviews
0
Average Words per Review
0
Rating
N/A
Buyer's Guide
Fraud Detection and Prevention
March 2024
Find out what your peers are saying about NICE, ThreatMetrix, FICO and others in Fraud Detection and Prevention. Updated: March 2024.
765,234 professionals have used our research since 2012.
Comparisons
Learn More
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. 

Sample Customers
viber, Ak Bank, tally, Home Advisor, AutoGravity
I Got Games, Momo, Changba, Yelp
Top Industries
No Data Available
VISITORS READING REVIEWS
Financial Services Firm29%
Computer Software Company16%
Retailer14%
Educational Organization7%
Company Size
No Data Available
VISITORS READING REVIEWS
Small Business17%
Midsize Enterprise21%
Large Enterprise62%
Buyer's Guide
Fraud Detection and Prevention
March 2024
Find out what your peers are saying about NICE, ThreatMetrix, FICO and others in Fraud Detection and Prevention. Updated: March 2024.
765,234 professionals have used our research since 2012.

Adjust Fraud Prevention is ranked 51st in Fraud Detection and Prevention while DataVisor is ranked 34th in Fraud Detection and Prevention. Adjust Fraud Prevention is rated 0.0, while DataVisor is rated 0.0. On the other hand, Adjust Fraud Prevention is most compared with , whereas DataVisor is most compared with Sift Digital Trust and Safety.

See our list of best Fraud Detection and Prevention vendors.

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.