Try our new research platform with insights from 80,000+ expert users

IBM Safer Payments vs Sift Digital Trust and Safety 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:
 

Categories and Ranking

IBM Safer Payments
Ranking in Fraud Detection and Prevention
4th
Average Rating
8.0
Reviews Sentiment
7.2
Number of Reviews
1
Ranking in other categories
No ranking in other categories
Sift Digital Trust and Safety
Ranking in Fraud Detection and Prevention
24th
Average Rating
6.0
Reviews Sentiment
6.6
Number of Reviews
1
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of April 2025, in the Fraud Detection and Prevention category, the mindshare of IBM Safer Payments is 3.9%, down from 5.6% compared to the previous year. The mindshare of Sift Digital Trust and Safety is 1.2%, down from 1.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Fraud Detection and Prevention
 

Featured Reviews

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.
reviewer1528731 - PeerSpot reviewer
Has a good 90-day POC but needs better machine learning and an updated user interface
We primarily use the solution for fraud chargeback, for securing the e-commerce store It's nice to be able to have access to a 90-day POC process. The user interface can be improved upon. The product needs to add more elements of machine learning. In a future release, I'd like to see a…

Quotes from Members

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

Pros

"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."
"It's nice to be able to have access to a 90-day POC process."
 

Cons

"The tool should enhance its reporting interface by adding more graphical elements like charts, diagrams, etc. Customers now want more vibrant visuals—bright charts with larger tables, perhaps incorporating animations and 3D elements. Sometimes, it's challenging to explain to customers why the current solution, while good, lacks these kinds of visuals."
"The user interface can be improved upon."
 

Pricing and Cost Advice

"I rate the solution's pricing a seven out of ten."
Information not available
report
Use our free recommendation engine to learn which Fraud Detection and Prevention solutions are best for your needs.
849,335 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
Financial Services Firm
48%
Computer Software Company
17%
Manufacturing Company
5%
University
4%
Computer Software Company
22%
Financial Services Firm
18%
Educational Organization
10%
Hospitality Company
8%
 

Company Size

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

Questions from the Community

What needs improvement with IBM Safer Payments?
The tool should enhance its reporting interface by adding more graphical elements like charts, diagrams, etc. Customers now want more vibrant visuals—bright charts with larger tables, perhaps incor...
What is your primary use case for IBM Safer Payments?
Our customers use this solution to check financial transactions for their payments. Our customers, mainly banks, use this solution to verify the accuracy of their clients' financial transactions. T...
Ask a question
Earn 20 points
 

Overview

 

Sample Customers

Borgun
Doordash, Zoosk, Zirtue,Traveloka, Cozy
Find out what your peers are saying about ThreatMetrix, NICE, FICO and others in Fraud Detection and Prevention. Updated: April 2025.
849,335 professionals have used our research since 2012.