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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 […]

[Podcast] Content Moderation: Best Practices

User-generated content (UGC) is the lifeblood of online marketplaces and communities. When someone posts fraudulent, abusive, or spammy content on your site, it doesn’t just look bad: it’s a visible, public indication that your business isn’t safe. Content abuse hurts your brand and hits your bottom line. Content moderators are often the first line of […]

Siftie Spotlight: Dandrew Cruda, Senior Marketing Manager, Demand Generation

This is part of a monthly series in which we get to know Sifties. Dandrew Cruda is our Senior Marketing Manager, Demand Generation, who has been with Sift Science for five months. If he could eat just one food for the rest of his life, it would be ice cream. Specifically, Thrifty’s Chocolate Malted Krunch […]

[Infographic] The 9 Flavors of Content Spam

Remember email spam? It used to be the scourge of the inbox, drowning out legitimate messages with sketchy offers for cheap pills and fast loans. But thanks to machine learning, these days you rarely see an unsolicited ad or offer pop up in email. The bad news? Instead, scammers have moved on to plague communities, […]

Botpocalypse: Spammy Content and Phony Engagement Make Up the New Face of Social Media

Sixty-nine percent of American adults use social media in some form. From Facebook to Instagram, Snapchat to YouTube, social media platforms connect family, friends, and strangers in a way that is unprecedented in the annals of human history. But with this exchanging of words, images, and ideas – oftentimes behind a pseudonym and an avatar […]

[Podcast] International Fraud and Cybersecurity

Ecommerce fraud seems pretty, self-contained, right? Your trust & safety team catches a fraudster, you put safeguards in place to prevent similar fraud from happening in the future, and that’s the end of the story. Or is it? You may not realize it, but online fraud and other cyber threats can have serious ramifications for […]

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 […]

A Day in the Life of a Business Development Representative at Sift Science

In this series, we sit down with Sifties to find out what a typical day in their role is like, how they overcome any challenges they might face, and what it’s like to work at Sift Science. Sameer Jauhar is a Business Development Representative (BDR) in our San Francisco office. Read about what it’s like […]

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, […]