Scale that compounds daily
Pipl's identity graph spans 5B+ identities across 150+ countries, enriched by 1T+ payment fraud signals and refreshed by 2B signal updates every day.
Signals that connect
Other tools often check each attribute in isolation. Pipl maps whether and how they connect, which is how synthetic identities give themselves away.
Calibrated to your environment
Elephant, Pipl's large risk model, calibrates to your fraud patterns, customer mix, and attack surfaces instead of averaging its logic across every business.
Explainable where it matters
Every Trust Score comes with the signals and reason codes behind it, so decisions hold up with fraud teams, compliance, and regulators alike.
A foundation built over decades
More than 20 years of identity data give every decision depth newer solutions haven't had time to build. A fraudster can fake attributes; they can't fake the past.
Strengthens your existing stack
Pipl doesn't replace your risk engine. Signals and scores plug into your existing models, rules, and workflows, and you keep control of every decision.
