Lock down fraudulent activity
Save time and money fighting fraud by using our trusted datasets to detect and address suspicious activity with confidence.
Powering Fraud & Identity Mitigation Solutions
From detection, to classification, to prevention, optimize your risk mitigation efforts using a powerful dataset of real-world identities.
Fraud Prevention
Build informed risk models to confidently identify and categorize suspicious events and bad-actors.
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»Identity Resolution
Access extensive records on work, education and location history as well as associated professional and social profiles.
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Know Your Customer
Streamline customer onboarding and transactions by focusing automated fraud mitigation efforts towards your most risky users.
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»Address identity risk with confidence
Trusted dataset of known professionals
Leverage our global company dataset for market research and investment insights.
Built for risk modeling
Save time, money, and effort building your models on top of our structured data records and risk-focused metadata.
Ethical data stewardship
Compliant, opt-in data sourcing ensures dependable, ongoing access to information.
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»Hundreds of unique data points
Leverage the most comprehensive identity graph on the market.
Phone Numbers
Emails
Location
Social Profiles
Contact Information
Fraud & Identity Resources
Fraud x PDL: How People Data Labs Helps Fintech Companies Fight Fraud
»A fintech vendor turned to People Data Labs for help connecting loan applicants to businesses through data.
Fintech's Big Data Future
»We surveyed over 150 fintech professionals to find out how they leverage data to establish identity, and offer better, faster, safer service to consumers.
Data-Driven Fraud and Risk Management with People Data Labs and AWS
»Learn how B2B data enrichment can help fintech providers to mitigate risk and detect fraud
Fighting Workers Compensation Insurance Fraud
»To prevent losses due to insurance fraud, a risk mitigation vendor in the worker’s compensation insurance space came to People Data Labs.
What will you build?
