Connected fraud intelligence for enterprise risk decisions
Built for the complexity of enterprise fraud, Pipl connects identity, device, and behavior signals into traceable intelligence for complex systems and fragmented environments. At its core is an industry-leading identity graph of more than 5 billion profiles, powering Pipl’s AI-native model to help enterprises detect, prevent, and investigate fraud with confidence. That’s why some of the the world’s largest payment networks, ecommerce marketplaces, and digital wallet platforms trust Pipl.
Confident fraud decisions need more than just signals
More signals don't automatically lead to better fraud decisions. Teams need evidence they can interpret, trust, and use across complex systems. Pipl turns fragmented signals into intelligence that teams can carry across systems, decisions, and reviews without losing meaning.
Coherence
Fragmented identity, device, and behavioral signals resolve into intelligence that teams can interpret and use in fraud decisions.
Explainability
Intelligence retains its meaning across systems, teams, and contexts, so decisions don't break down under review or repeated use.
Compliant
Apply intelligence across complex systems at scale with confidence, supported by privacy protections and responsible data practices.
Two ways to apply Pipl fraud intelligence
Apply adaptive scoring across real-time payment workflows
Bring AI-native fraud decisioning into high-speed payment environments where risk must be assessed quickly and the cost of friction, false declines, and unnecessary review compounds across the payment lifecycle.
Investigate identities with greater depth and precision
Go beyond isolated records with connected intelligence that helps teams resolve who or what is behind fraudulent activity, support more defensible decisions, and get to an answer or the next lead faster.
The most trusted source of online identities worldwide
5+ Billion
Trusted Identities
28+ Billion
Unique Identifiers
10+ Billion
Global Emails
3+ Billion
Global Mobile Numbers
9+ Billion
Social Media Usernames
740 Billion
Trust Signals
From Our Identity & Trust Blog
From Our Identity & Trust Blog

6 Facts You Must Know About Fraud Prevention’s Shift from Rule-Based to AI

NO RULES: How AI Renders Rule-Based Fraud Prevention Obsolete

Online Dating: Do You Believe in Trust at First Sight?
