How Coinbase Builds Sequence Features for Machine Learning

May 13, 2025

How Coinbase productionizes user sequence features with Tecton and Databricks to power fraud and recommendation ML models.

Feature PlatformsFraud DetectionOperational & Real-Time Machine LearningPartners & Integrations

How Tecton and Taktile Power Real-Time Risk Decisions at Scale

May 5, 2025

Learn how Tecton and Taktile enable fraud and risk teams to iterate faster, reduce fraud losses, and make more accurate decisions at scale.

Fraud DetectionFeature PlatformsOperational & Real-Time Machine LearningPartners & Integrations

Why Feature Freshness Makes or Breaks Fraud Detection

April 8, 2025

Learn why feature freshness stops fraud. Real-time data catches attacks instantly, while batch systems create windows for more fraudulent transactions.

Fraud DetectionOperational & Real-Time Machine Learning

Boost AI Fraud Model Performance with 3rd Party Data

January 28, 2025

Enhance your AI fraud detection models by integrating third-party data with zero-friction using Tecton's API Resources.

Fraud DetectionPartners & IntegrationsProduct

Fighting Fraud in Real-Time: North’s Journey to Smarter, Faster ML

January 9, 2025

How North built a real-time fraud detection system that processes millions of payments using machine learning. A technical overview of their ML architecture, challenges, and solutions.

Customer StoriesOperational & Real-Time Machine LearningFraud Detection

How Plaid Uses Tecton to Detect and Prevent Fraud

November 9, 2023

Learn how Plaid built Signal, an ML platform that powers payment fraud detection and prevention, in this post.

Customer StoriesFraud Detection

Machine Learning for Risk & Fraud Detection: 4 Key Insights From apply(risk)

July 28, 2023

apply(risk), the biggest online conference for fraud detection in the ML community, featured many informative talks. Check out this post for four major takeaways from the event.

EventsFraud Detection

Using Machine Learning for Risk & Fraud Detection

June 14, 2023

With the increase of digital technology in every aspect of our lives comes an increase in fraud. For instance, did you know that in 2020, digital payments increased by 41% over the previous year,1 allowing more opportunities for fraudulent …

Fraud Detection

Notebook-Driven Development with Tecton 0.6: Combating Fraud and Optimizing Dynamic Pricing

March 20, 2023

Notebook-driven development is a flexible and efficient approach that enables data scientists, ML engineers, and data engineers to define features in Python notebooks while constructing ML models.

Feature PlatformsFeature StoresFraud Detection