Compare Adjust Fraud Prevention vs. IBM Trusteer

Adjust Fraud Prevention is ranked 31st in Fraud Detection and Prevention while IBM Trusteer is ranked 4th in Fraud Detection and Prevention. Adjust Fraud Prevention is rated 0, while IBM Trusteer is rated 0. On the other hand, Adjust Fraud Prevention is most compared with , whereas IBM Trusteer is most compared with ThreatMetrix, IBM Safer Payments and RSA Web Threat Detection.
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Adjust Fraud Prevention Logo
19 views|14 comparisons
IBM Trusteer Logo
1,589 views|1,042 comparisons
Ranking
Views
19
Comparisons
14
Reviews
0
Average Words per Review
0
Avg. Rating
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Views
1,589
Comparisons
1,042
Reviews
0
Average Words per Review
0
Avg. Rating
N/A
Top Comparisons
Compared 25% of the time.
Compared 18% of the time.
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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.

IBM Trusteer Pinpoint Detect, helps protect digital channels against account takeover, fraudulent transactions, and can detect end user devices infected with high risk malware. Trusteer Pinpoint Detect is a cloud-based solution that can transparently build user profiles and continuously authenticate online identities to more efficiently differentiate between a true user and fraudsters. It is designed to enable a real-time risk assessment with an actionable recommendations, employ behavioral biometrics capabilities to seamlessly build models based on patterns of mouse movements in real-time and analyze patterns against learned user behavior and known fraud patterns, identify access using compromised credentials and provide actionable recommendations to help detect and mitigate fraudulent activities and control and create custom policies to help you rapidly build and deploy countermeasures leveraging machine learning and advanced analytics.
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Sample Customers
viber, Ak Bank, tally, Home Advisor, AutoGravity
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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.