CRS Taps AtData to Launch New Fraud Finder Solution

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Real-Time Email Intelligence Flags Fraud Signals to Identify and Eliminate Synthetic Identities and Account Takeovers

 AtData, a leading innovator in email address intelligence, data security, and digital trust solutions, announced that CRS, a premier platform for credit, fraud, and compliance, has selected AtData’s email validation data to power CRS’ new Fraud Finder, an email-centric fraud detection solution that helps teams flag risk earlier in the customer journey even before the credit pull.

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“Identity verification often comes with trade-offs between cost and coverage, but Fraud Finder changes that,” said Jason Domazet, Chief Revenue Officer of CRS. “Our affordable and highly configurable solution taps into AtData’s market-leading email validation data to identify fraud signals in real-time so credit professionals can stop bad actors at the earliest point in the customer journey before accounts are created and purchases are made.”

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Powered by AtData’s industry-leading email address intelligence, CRS Fraud Finder analyzes billions of monthly behavioral email signals and delivers a cost-effective, API-ready solution that eliminates fraud patterns including synthetic IDs, account takeovers, and transactional abuse. Whether onboarding new users, verifying transactions, or reviewing account changes, CRS Fraud Finder enables credit teams to act quickly, accurately, and with greater confidence when fraud is detected.

“Email sits at the center of every digital identity and we are proud to help CRS Fraud Finder tap into email’s real-time fraud signals to identity high-risk activity before checking credit,” said Diarmuid Thoma, AtData’s Head of Fraud and Data. “CRS recognizes that the value of an email-centric approach makes fraud detection more precise, more flexible, and far easier to implement than traditional identity tools.”

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CRS has built its Fraud Finder to check AtData’s email address intelligence for real-time email-based risk scoring using global behavioral signals to detect fake accounts, account abuse, and suspicious updates. The flexible API integrates directly into onboarding or transaction flows and delivers structured, decision-ready output for immediate action.

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Source : PRnewswire

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