Overview
Join the data science revolution
IBM® Safer Payments enables your fraud prevention teams to adapt their controls faster to emerging threats and detect fraud with greater speed and accuracy without vendor or data scientist dependencies.
It comprises the analytics and simulation tools needed to continuously monitor business performance and adapt the decision model to emerging and modified fraud patterns.
Benefits
Delivers high performance results
Bring agility to fraud management
Proven in production
Open source data science
Feature spotlights
Join the data science revolution
Triple redundancy
This solution is deployable as a 3-instance cluster. Each can run full production volume, even during fails.
Full configurability
Payment instruments, data streams model data dictionary, and actual detection models are all configurable via web.
Horizontal and vertical scalability
With clustered architecture and parallel programming, multi-core commodity servers are utilized most efficiently.
How it's used
Real-time payments fraud prevention
Real-time payments fraud prevention
Criminals structure payments and "smurf" them through mule accounts to disguise the flow of money. Safer Payments profiles each payment originator and beneficiary as both sender and recipient of payments in the past.
Model factory
Model factory
To enable the combination of the best data science techniques, we created the "model factory" concept. It allows Safer Payments users to pick the combination of techniques best suited to solve their fraud problem.
Online and mobile banking
Online and mobile banking
Safer Payments uses data from actual online and mobile banking sessions. Built-in device ID capability, with device behavior profiling and a device reputation database and biometric parameter recognition hardens this channel.
Utilize open source data science
Utilize open source data science
Safer Payments is the most open data science platform for payment fraud prevention currently available in the market. Export and import models in portable PMML format and ingest models or feature extractions as Python code.
Multitenancy and multichannel
Multitenancy and multichannel
Safer Payments provides hierarchical multitenancy. It efficiently manages hundreds of tenants, each customized. Inheritance allows maintenance of central models and configurations.
Announcements
Risk.net Asia Risk Awards 2020
IBM Safer Payments wins Fraud Detection and Prevention Product of the year.
Featured resources
Solution brief
IBM Safer Payments: It’s time for a better approach.
Technical white paper
Learn about IBM Safer Payments architecture and its underlying technology
Customer testimonial
FIS using IBM Safer Payments to protect real-time payments
Volt announcement
Australian neobank Volt adopts IBM Safer Payments into online banking platform
More resources
Blogs
Fighting fraud across channels
Why real cross-channel payment data integration matters
Case studies
Reports
The Forrester ‘Total Economic Impact’ Report
Cost savings and business benefits enabled by IBM Safer Payments
The Forrester ‘Total Economic Impact’ Infographic
Cost savings and business benefits enabled by IBM Safer Payments
FIS ‘Fraudsters continue to evolve’ Infographic
Fraudsters are employing increasingly sophisticated and organized methods to exploit electronic payments arenas.
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