Pipl Trust Solutions
AI-native fraud decisioning for teams who need sharper authorization rates
Generic fraud tools apply broad logic across payment environments that behave nothing alike. Trust is Pipl's payment fraud decisioning solution, powered by Elephant, the industry's only large payment AI model. It gives payment teams modular access to real-time scoring, analyst investigation, behavioral monitoring, and device intelligence, so they can improve authorization performance without increasing fraud exposure.
Real-time fraud intelligence across the full authorization workflow
Authorization performance suffers when scoring is too generic for the environment it's protecting. Our Trust solutions give payment teams the intelligence they need at every stage of the authorization workflow, from real-time decisioning and analyst review to behavioral monitoring and device context.
Increase authorization performance
Separate legitimate transactions from actual risk with scoring calibrated to your actual fraud environment.
Reduce manual review burden for analysts
Resolve more decisions in the scoring layer so fewer cases fall into review queues and exception handling.Protect against coordinated fraud attacks
Surface behavioral shifts and suspicious patterns earlier, before they compound into downstream losses.
The Pipl Trust Suite for stronger decisions
Pipl Trust gives payment teams modular coverage across the full fraud workflow, combining intelligence across identity, behavior, and device to detect fraud earlier, reduce review burden, and make more confident decisions. Every product draws on Elephant, Pipl's large payment AI model, so teams get fraud intelligence calibrated to the environment they actually manage.
Trust API
Trust API embeds directly into your existing decision logic and returns scoring calibrated to your operating conditions. It draws on context across identity, behavioral, and device signals so authorization decisions improve without a continuous cycle of rule adjustment and threshold management.
Trust Monitoring
Trust Monitoring helps payment teams spot coordinated fraud before it becomes obvious in isolated transactions, broader rules, or rising review burden. It tracks changes in behavior across the system, surfaces new anomalies, and reveals patterns in suspicious activity so teams can respond earlier and with more precision.
Trust Device
Trust Device links device intelligence to identity context so payment teams can recognize trusted users more accurately when identity signals change, spot risky device-identity mismatches earlier, and reduce false positives without adding friction or slowing live payment flows.
Trust Insights
When automated scoring can't fully resolve a case, the decision moves to a human. Trust Insights gives fraud analysts the linked identity context, structured signals, and investigation workflow they need to resolve those cases faster and with greater consistency across teams.
The foundation underneath every Trust solution decision
Every Trust product draws on Elephant, Pipl's large payment AI model, built on an identity graph that gives payment teams the signal depth to make more precise fraud decisions across the environments they actually operate.
5+ Billion
Global Identities
28+ Billion
Unique Identifiers
740+ Billion
Trust Signals