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Digital Resolve Fraud Detection Software vs IBM Safer Payments vs IBM Trusteer comparison

 

Comparison Buyer's Guide

Executive Summary

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Mindshare comparison

As of October 2025, in the Fraud Detection and Prevention category, the mindshare of Digital Resolve Fraud Detection Software is 0.7%, up from 0.7% compared to the previous year. The mindshare of IBM Safer Payments is 3.1%, down from 4.9% compared to the previous year. The mindshare of IBM Trusteer is 2.7%, down from 3.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Fraud Detection and Prevention Market Share Distribution
ProductMarket Share (%)
IBM Safer Payments3.1%
IBM Trusteer2.7%
Digital Resolve Fraud Detection Software0.7%
Other93.5%
Fraud Detection and Prevention
 

Featured Reviews

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Yurii Fedets - PeerSpot reviewer
Helps determine whether a transaction is correct or fraudulent
It's a very fast solution. It can make decisions in 10, 20 or 30 milliseconds. Another feature is that it's a white-box solution. Our clients can see the system's operation, including the rules influencing each decision. Additionally, it's an omnichannel solution capable of utilizing information from various digital channels such as card processing, mobile banking, web banking, APMs, and others. This allows for transaction analysis. Moreover, it's a highly adaptable solution that can integrate machine learning, both external and internal models, making it easy to implement. Compared to competitors, it's one of the easiest solutions to implement. The tool allows historical data to be leveraged within the system to train models without needing external systems. Secondly, it supports external modeling systems, enabling customers to create and train models outside the product and then integrate them into the system. This is useful for customers who utilize other machine learning and artificial intelligence systems alongside IBM Safer Payments.
Olawale Ayuba - PeerSpot reviewer
AI and machine learning capabilities improve fraud management
For IBM Trusteer, one of the advantages is its AI and machine learning capabilities, which are very strong. The solution provides the ability to manage fraud in every session of a user, from login to logout of the user experience. It operates quickly and can intelligently cover a wide range of threats in the field. The Adaptive Authentication feature allows for frictionless operation for the user. Based on its AI intelligence and intelligence sets, it enables frictionless flow and only creates the need for further authentication based on what it has intelligently gathered about that session. Two different users will have different login experiences based on their history and behavioral analysis that tells the system whether to proceed with the transaction or pause it, protecting users from account takeovers or new account frauds. Integration is straightforward using JSON integration. It is easy to integrate with banking solutions or middleware solutions that financial institutions already have, both from the front end and back end. Whether it is a single-paged application or a multi-page application, there are different snippets and code bases for various types of integrations with back-end applications. IBM Trusteer captures customer ID and user ID at every session, enabling it to follow users through their journey through the banking application. It has its own real-time dashboard that allows fraud analysts to quickly make decisions about ongoing activities and determine whether to deny or allow transactions. It protects sensitive information of users through session and transaction-based monitoring, capturing CSID, customer ID, and user ID, enabling analysts to take swift, real-time action.
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Top Industries

By visitors reading reviews
No data available
Financial Services Firm
45%
Computer Software Company
14%
Manufacturing Company
7%
Wholesaler/Distributor
4%
Financial Services Firm
45%
Computer Software Company
15%
Manufacturing Company
10%
Insurance Company
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
No data available
No data available
 

Questions from the Community

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What needs improvement with IBM Safer Payments?
I haven't looked at IBM Safer Payments in that detail, so I wouldn't be able to answer what areas need to be improved...
What is your primary use case for IBM Safer Payments?
My usual use cases for IBM Safer Payments involved real-time fraud monitoring of near real-time, not real-time, near ...
What is your experience regarding pricing and costs for IBM Trusteer?
The solution is somewhat expensive. IBM could improve their pricing structure. It comes with both licensing and profe...
What needs improvement with IBM Trusteer?
During integration, it is difficult to fully integrate within a specified time, primarily because code snippets must ...
What is your primary use case for IBM Trusteer?
IBM Trusteer is an anti-fraud solution that is used for account takeover fraud, new account fraud, account fraud, and...
 

Overview

 

Sample Customers

LGE Community Credit Union, Member Driven Technologies (MDT), R.C. Olmstead (RCO)
Borgun
Banco Satander
Find out what your peers are saying about ThreatMetrix, NICE, FICO and others in Fraud Detection and Prevention. Updated: August 2025.
868,654 professionals have used our research since 2012.