Sardine’s blog

Machine learning is critical to the fraud squad, but they're often frustrated by black boxes and no data access. The solution is a feature store. Allowing your data scientists to centralize, simplify, and make accessible machine-learned features from 3rd parties.

All risk problems are data science problems. So welcome to your everything is data edition of the Sardine newsletter. Think you’ll enjoy this one.

Welcome to our monthly product newsletter, where we share updates on new features and product releases. This month, we shipped 8 updates to the risk platform to improve our investigative tools, rules editor, and case management capabilities. If you have any questions, drop us a note at productupdates@sardine.ai or get in touch with your Sardine Account Manager.

Sardine offers machine learning-based anomaly detection and rules to stop returns fraud before, during, and after users enter the e-commerce world. That’s how we catch more. Catch Sardine to find out how.

Machine Learning and Rules Engines are both critical tools in the fraud squad's arsenal. But not all rules engines are equal. Learn why the Sardine rules engine rules them all.

Getting access to the data you need to prevent fraud and improve conversion isn’t always possible unless you use Sardine.

Fraud teams are flying blind with card transaction data, creating false declines and high fraud rates. The solution? Fine-grained merchant intelligence with Spade and Sardine.

As Generative AI becomes more widespread, fraudsters are using it to create scams faster than ever before. The key to detection lays in looking for signals outside the transaction or login.

In this month's newsletter: AI fraud tools, voice cloning in account takeovers (ATOs), and advice from Sardine's Head of Fraud.

We’ve been working hard to build meaningful updates to our fraud and compliance risk platform and have some updates from the last month below...

As fraud gets more sophisticated and fraud rates explode, three tools are crucial. Better AI, better rules, and better humans in the loop. The key is how they work together.

Many merchants see increased fraud and chargebacks from Apple Pay users. The secret is understanding what other data you can use to prevent, detect and manage this risk.