Real-Time Fraud Detection with Domain-Based ML Signals
In this live demo, Verisoul will showcase how they use Chalk to orchestrate feature computation across heterogenous data sources, incorporate domain-specific rules, and blend ML models into a unified, real-time decisioning pipeline. The demo will focus on how Verisoul parses the domain of email addresses as a critical real-time fraud signal—extracting structured intelligence from domain patterns such as age, registrar, reputation, and configuration anomalies, and converting that data into meaningful features for risk scoring.
Whether you're a platform engineer focused on MLOps or a data scientist building identity scoring models, this session will highlight the tools and patterns that make real-time decisioning on complex data both feasible and fast.