Latest Product & Feature Releases
Harness the power of a platform that prioritizes constant evolution. Sift’s fraud expertise is ever better as we continue to sharpen our solutions and services. Read about our latest product and feature releases, breakthrough enhancements, and platform updates. Explore all recent Sift platform updates below.
ThreatClusters
ThreatClusters is a revolutionary approach to AI-powered risk decisioning that uses a multi-pronged method, combining the precision of customer-specific risk models with the broader intelligence of a global model, in order to derive risk signals that are unique to each industry. ThreatClusters can improve fraud decision accuracy, reducing the risk of false positives/negatives up to 20% by fine tuning risk models to incorporate the real-time behavior traits of a cohort of peers, in addition to new-to-cohort fraud patterns.
RiskWatch
RiskWatch makes it possible to set target block rates that automatically adapt in response to changes in user behavior, fraud attacks, or other dramatic shifts. RiskWatch automatically accounts for changes in user behavior patterns in real time, during fraud attacks or other dramatic shifts, with block rates adapting to capture additional risky events as they occur. As attacks conclude, risk thresholds return to pre-fraud levels that can be easily adjusted. RiskWatch is immediately available for Sift customers that leverage Sift for account creation, account takeover, content, payment, policy, and chargeback fraud.
FIBR | Fraud Industry Benchmarking Resource
FIBR is the first-of-its-kind Fraud Industry Benchmarking Resource showcasing real-world data benchmarks for payment fraud and account takeover. See how your digital risk strategy stacks up against others in your market, and get essential insights into fraud trends emerging across Sift's Global Network.
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.
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.