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Trust for Account Opening

By: PIPL

Verify real customers during onboarding and stop synthetic identities before they enter your ecosystem.

Are you ready to improve customer conversion rates, reduce application abandonment, and mitigate 3rd party fraud? Pipl Trust for Account Opening, powered by the Elephant large risk model, helps solve these challenges by evaluating these 5 inputs — name, email, phone, address, IP — against a global identity graph. This ensures a clear identity with a traceable history that lets you improve the customer journey by auto-approving trusted users and challenging risky ones, reducing the costs linked to manual reviews and synthetic identity fraud. Seeing is believing. Enjoy our 90-day complimentary trial with no long-term commitment. Prefer some expert recommendations? No problem. Let's run an offline historical data test.
Features Benefits

Features

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Resolve

Cross-reference signup inputs - name, email, phone, IP - against a global identity graph to confirm they belong to a single, coherent real-world identity with traceable history.
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Detect

Identify synthetic identities, multi-accounting, promo abuse, bot-driven registrations, and ban evasion by analyzing the historical linkage between submitted data points.
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Decide

Receive a Trust Score (0-1000) with granular risk signals in milliseconds, enabling automated decisioning - auto-approve trusted signups and challenge risky ones with step-up authentication.

Benefits

Reduce Pre-KYC Costs

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Frictionless Onboarding for Genuine Applicants

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Take the next step

Connect with FICO to learn how to accelerate innovation and unlock time-to-value from decision assets, including AI, by accessing FICO Marketplace from FICO Platform.