Replace error prone random manual checks with cutting edge fuzzy, phonetic and biometric image checks to detect application and KYC anomalies at the point of onboarding.

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Match incoming face image across all your existing images to identify potential identity theft and account takeover cases. Even when name and addresses are spoofed, the image matches can indicate identity thefts and can uncover organized fraud at scale.

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Enable full feature identity check at the time of onboarding – from KYC and AML checks to ID verifications and identity checks, build rules to allow good customers to get through quickly while stopping bad actors from slipping through the net.

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Stopping a genuine customer for fraud (because the machine said so) makes the cure worse than the disease. Add human referral mechanism to allow a trained human analyst or underwriter to intervene when machines are unable to make a definitive decision. Make this part of your seamless onboarding flow.

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