Description
Pipl is a fraud intelligence platform designed to help enterprises make better risk decisions by converting fragmented identity data into usable intelligence. The platform is powered by Elephant, a large risk model built on over 20 years of global payment and identity data. This model helps reduce false declines and fraud exposure by providing context to existing risk engines, ensuring that good customers are not turned away and fraudsters are caught.
Pipl's identity graph spans over 5 billion identities across more than 150 countries, enriched by over a trillion payment fraud signals and refreshed by 2 billion signal updates daily. This extensive data network allows Pipl to map connections between identity attributes, revealing synthetic identities and providing explainable Trust Scores that hold up under scrutiny from fraud teams, compliance, and regulators.
The platform offers three main deployment options: Pipl Trust, Pipl Search, and Pipl Elements. Pipl Trust integrates Elephant's risk assessment into authorization workflows, improving authorization performance without increasing fraud exposure. Pipl Search enhances identity resolution capabilities, allowing investigators to reach more defensible conclusions quickly. Pipl Elements delivers modular phone and email signals to strengthen existing models and workflows.
Pipl is designed for high-stakes risk decisions, including transaction risk, account opening, account protection, and fraud investigations. It helps enterprises approve more genuine transactions, stop card-not-present fraud, catch account takeovers, and resolve fragmented identity data into clear profiles. The platform's adaptive trust scoring has been proven to reduce chargebacks, manual reviews, and false declines, while increasing approval rates and overall model performance.
Pipl's solutions are trusted by leading global enterprises across various industries, including consumer electronics, travel booking, retail, and social media platforms. The platform's ability to adapt to specific fraud patterns and customer mixes makes it a valuable tool for businesses looking to enhance their fraud prevention strategies.
Pipl Fraud Intelligence's Core Features
Elephant risk model with 20+ years of data
Identity graph with 5B+ identities
1T+ payment fraud signals
2B daily signal updates
Explainable Trust Scores
Pipl Trust for authorization workflows
Pipl Search for identity resolution
Pipl Elements for modular signals
Transaction risk scoring
Account opening verification
Account protection against takeovers
Fraud investigation tools
Adaptive trust scoring
Integration with existing risk engines
Global enterprise trust
How to use Pipl Fraud Intelligence?
Configure: Integrate Pipl with existing risk engines
Use: Deploy Pipl Trust for authorization workflows
Optimize: Utilize Pipl Search for identity resolution
Enhance: Implement Pipl Elements for modular signals
Pipl Fraud Intelligence's Use Cases
- Transaction Risk
- Account Opening
- Account Protection
- Fraud Investigations
- Authorization Workflows









