Elephant is a large risk model trained on payment fraud signals across one trillion data points and five billion digital identities.
If you want to understand how it works, what makes it architecturally different, and whether it's the right fit for your payment environment, this is the right place to start.
Understand the model
Learn how Elephant evaluates identity, behavioral, and device signals together to produce more precise fraud scoring than general-purpose models can deliver.
See what adaptive calibration means in practice
Understand how Elephant is retrained to each deployment environment and what that means for scoring accuracy as fraud patterns evolve.
Evaluate the fit for your environment
Find out how Elephant performs in payment environments like yours and what the path to deployment looks like.
Get the full technical picture
Go deeper on architecture, training data, signal evaluation methodology, and model performance benchmarks with the team that built it.