Announcing Smart Collaboration in Queues: A better way to do manual review

No fraud analyst is an island, and that can cause inefficiencies when multiple people work in a review queue. Today, we’re happy to announce Smart Collaboration features that will enable teams to work together seamlessly! Smart Collaboration builds on the Workflows and Queues functionality we launched last July. Now, analysts can claim queue items simply […]

Introducing mobile locations for better fraud fighting

More and more users are turning to mobile to make purchases, interact with online communities, and browse the web — and fraudsters are following suit. We launched our iOS and Android SDKs over the last year to help our customers fight mobile fraud. Customers who have integrated the SDKs have already seen many mobile-specific signals […]

Introducing the Sift Science Digital Trust Platform

Today, we’re excited to unveil the Sift Science Digital Trust Platform, a holistic way for online businesses to maximize their revenue with legitimate users while protecting both themselves and their customers from the ever-expanding attack vectors of fraud and abuse. Protecting digital businesses while enabling growth It’s never been more vital for online businesses to […]

Announcing support for iOS 11 and Android O!

Stay ahead of mobile fraud by keeping your Sift Science SDK integrations up to date! We’re happy to announce that our mobile SDKs now support iOS 11 and Android Oreo (O).    In addition to supporting the latest version of both mobile platforms, the SDK includes a host of improvements, including: Better Android data collection […]

Improved developer reporting: Integration Health page updates

The quality of your integration has a direct impact on how well Sift Science works for your business. We rely on your data to detect fraud patterns, so it’s really important to ensure you have the best possible integration to send us that data. That’s why we’re excited to announce updates to the Integration Health […]

How Sift Science Helps On-Demand Businesses Grow

On-demand businesses are growing, attracting more than 22.4 million consumers annually and $57.6 billion in spending.  But as they grow, they face a number of unique challenges and a myriad of fraud problems. Sift Science has had a lot of success with on-demand companies, and new features we’ve introduced over the last year make it […]

Sift Science + Dwolla = Real-Time ACH Fraud Prevention

Payment solution company Dwolla’s been a great customer of Sift Science since 2013, leveraging our powerful Live Machine Learning technology to help move billions of dollars in commerce every year. And now, we’re excited to announce that Dwolla has extended its platform to include Sift Science directly in its Access API, so partner businesses can […]

New Tools to Audit Your Workflows

Today, we’re excited to announce some new features that give you better control and enhanced visibility into how your Workflows are running. Workflows enable fraud teams to build powerful business logic to automatically accept, reject, or manually review a subset of the users from within the Sift Science console. With Workflow Change History and the […]

Work faster and smarter with Decisions

Our customers tell us that boosting efficiency is always top of mind for their teams. That’s why we’re excited to tell you about some updates to how your team can take advantage of Sift Science Decisions to hone your processes, save time, and work better together. How Sift Science Decisions make your team more efficient […]