Clients report high detection at ultra-low false-positive rates after deploying our solution.
Build, test, validate and deploy machine-learning models in days versus months without reliance on vendors.
Monitor thousands of payments per second. Enterprise-grade solution delivers 99.999% availability and high throughput.
With an open platform, import detection models, model components and IP while using a rich interface to build new models.
Enables you to use any data science, machine learning or artificial intelligence technique –from any vendor or open source –to outsmart fraudsters.
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.
Everything in IBM Safer Payments is easily configurable. Full adaptation to customer data model. New data feeds can be configured in minutes.
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.
Purpose-built dual-access database technology delivers peak performances of multiple thousand transactions per second that runs on commodity hardware and any cloud environment.
FIS fights financial crime and fraud by infusing AI and intelligence workflows.
The National Payment Switch achieved over €1 billion in gross fraud saving since 2014.
Indue reinvents its financial crimes service in the Australian mutual sector.
Learn how the bank delivered cross-channel fraud protection, resulting in a frictionless and safer payments experience.
Learn how fraudsters are outwitting obsolete fraud prevention systems, stealing more from payment channels and eroding confidence. It’s time for a better approach.
Discover the industry’s first true cognitive fraud prevention solution to payment processing that protects some of the most complex payment portfolios in the world.
Learn more about IBM Safer Payments’ architecture, technology and scaling considerations.