The Battle for Frictionless Checkout

It’s one of the most dreaded paradoxes of running an online business. Customers want to get from the buy button to the “track shipment” page with as few steps as possible. But they also want businesses to keep their data secure. They’ll abandon their cart if the checkout page requires repeated identity verification…but they also […]

How to prepare for the mandatory use of TLS 1.2

In support of our promise to provide best-in-class encryption to our customers, we will be moving to Transport Layer Security (TLS) 1.2 and discontinuing support for TLS versions 1.0 and 1.1. Starting March 29, 2019, we’ll be turning off support for all API requests to Sift Science from servers using those older versions of TLS. […]

3 New Console Changes to Supercharge Manual Review

We built our Console to make fraud easier to understand and manual review more efficient. Earlier this month, we rolled out three new features to help teams increase their performance and work better together. Escalation Queues: Get a second pair of eyes on tricky cases We all get by with a little help from our […]

Cryptocurrencies: New Fraud Problems or Solutions?

Since bitcoin and the blockchain popped up nearly ten years ago, cryptocurrencies have experienced a startling evolution: from a fringe investment to a mainstream medium of exchange. Enterprising fraudsters have been following this evolution closely. In the first two months of this year, cryptocurrency fraud resulted in losses of $9 million a day. People who […]

Rules vs. Machine Learning: Why You Need Both to Win

Rules-based fraud prevention systems have a number of drawbacks when compared to the sophistication of machine learning, but is a machine learning-based system the be-all and end-all of fraud prevention? Can rules actually prove to be beneficial while making the transition to machine learning? We explored these and other questions in our webinar, Rules, Machine […]

Build vs. Buy: 5 Capabilities You Need in a Fraud Tool

When considering whether to build or buy your fraud prevention tools, there are a lot of criteria to assess. What is your in-house level of technical expertise? What are your time constraints? Would developing this technology be a core competitive advantage? And more… In our recent webinar, Building versus Buying: Understanding the Right time for […]

Improved developer experience: New API reference

Successful fraud fighting starts with a seamless integration, and we want to ensure you’re set up for success. We recognize the importance of well-thought-out documentation, which is why we’re excited to launch a redesign to our API reference. Based on feedback we collected from customers, as well as our team’s own experience using our documentation, […]

Machine Learning for Fraud Prevention: What’s Next

Advancements in technology – including improvements in computing power and wide-scale availability of big data – have radically changed how companies use machine learning. Fraud prevention is a major area in which machine learning is transforming both workflows and outcomes, allowing organizations to stay ahead of increasingly technologically advanced criminals. How can you take advantage of […]