data & ai
IBM Safer Payments
Protect all cashless payments from fraud
Outsmart fraudsters with generative AI
IBM® Safer Payments helps you create custom, user-friendly decision models so you can adapt to emerging threats faster and detect fraud with greater speed and accuracy, all without vendor or data scientist dependencies. IBM Safer Payments significantly accelerates modeling optimization by providing the analytics and simulation tools needed to continuously monitor business performance and adapt to emerging and modified fraud patterns.
Benefits
Clients report high detection at ultra-low false-positive rates after deploying our solution.
Brings agility to fraud management
Build, test, validate and deploy machine-learning models in days versus months without reliance on vendors.
Proven in production
Monitor thousands of payments per second. Enterprise-grade solution delivers 99.999% availability and high throughput.
Open source data science
With an open platform, import detection models, model components and IP while using a rich interface to build new models.
Join the AI revolution
Enables you to use any data science, machine learning or artificial intelligence technique –from any vendor or open source –to outsmart fraudsters.
All channel solution
Includes specific functionality to protect cards, online banking, and real-time payments. Profiles behavior and payment flow through all channels for lower false positives and reduced fraud losses.
Freely configurable
Everything in IBM Safer Payments is easily configurable. Full adaptation to customer data model. New data feeds can be configured in minutes.
Bring your own model
Build neural networks, random forests, decision trees, and regressions, using your preferred tools. Combine models of different types into ensembles, to leverage the best of each modeling technology.
In-memory NoSQL database
Purpose-built dual-access database technology delivers peak performances of multiple thousand transactions per second that runs on commodity hardware and any cloud environment.
How it’s used
Real-time payments fraud prevention
Criminals structure payments and “smurf” them through mule accounts to disguise the flow of money. IBM Safer Payments profiles each payment originator and beneficiary as both sender and recipient of payments in the past.
Model factory
To enable the combination of the best data science techniques, we created the “model factory” concept. It allows IBM Safer Payments users to pick the combination of techniques best suited to solve their fraud problem.
Online and mobile banking
IBM 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
IBM 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
IBM Safer Payments provides hierarchical multitenancy. It efficiently manages hundreds of tenants, each customized. Inheritance allows maintenance of central models and configurations.
https://www.ibm.com/products/safer-payments