Latest Product & Feature Releases

  • Make data-driven automation changes

    Safely guide automation improvements in a simulated environment.
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  • Leverage new payment types

    Incorporate new payment methods into your fraud operations.
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  • Benefit from industry-specific insights

    Create ML models that track end-user behavior unique to your business.
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  • Customize your experience

    Configure how your fraud insights appear to accelerate fraud analysis.
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Workflow Simulation

Finding the most effective way to optimize growth through automation is easier than ever with on-demand insight into exactly how changes will impact your fraud performance, and what changes will drive the biggest results prior to implementing them.

Expanded coverage for alternative payment methods (APMs)

We’re thrilled to deliver easy-to-use APM automation, investigation, and ML model training (e.g., “Buy Now, Pay Later” or BNPL), along with integrations for a wider range of Payment Service Providers (PSPs), digital wallets, and ACH systems.

Weighted cohort machine learning modeling

Our advanced, global, and business-specific machine learning models now incorporate weighted ML model insights derived from similar customer cohorts. This deeply strengthens Sift users’ ability to address and adapt to changing payment trends, regardless of origin.

Configurable user experiences

Customizable payment fraud prevention paths can be created for both traditional and emerging payment signals with the ability to drag and drop risk data into a personalized format, helping accelerate case resolutions and improve decision accuracy.