Jumio Identity Verification uses artificial intelligence, machine learning and biometrics to automate the verification process and help companies improve conversion rates, comply with AML and KYC regulations and better detect fraud — all while delivering a definitive yes/no decision in seconds.
Automate processes, convert more customers faster and dramatically reduce abandonment rates.
Stop fraudsters from the start — and keep them out — by verifying the user is who they say they are.
Is the ID document authentic and valid?
Is the person holding the ID the same person shown in the ID photo?
Is the person holding the ID physically present during the transaction?
Jumio Identity Verification delivers a definitive yes or no answer in seconds.
"By adding Jumio into the customer verification process, we are making life quicker and easier for our customers, minimising fall-out from lengthy verification processes and removing costly man hours where we have to receive and review documents manually."
Dramatically reduce user friction and verification time while increasing conversion rates.
Ensure secure ID document authentication by checking against known ID templates to ensure that all the requisite security checks (e.g., holograms, watermarks, font types, etc.) are present.
Make sure the person in the selfie is the same person pictured on the ID document but that the photo and selfie aren't identical.
Comply with KYC, AML, CCPA,GDPR and many more privacy and financial services regulations and directives.
Perform liveness detection using advanced face-based biometric technology for spoof-proofing.
Reduce abandonment rates by enabling your users to retake a picture of their ID or selfie if the initial image is unreadable.
All data is transmitted and stored with strong AES 256-bit encryption. Jumio is PCI-DSS Level 1 compliant.
Subjects users to a brief liveness check which serves as a powerful fraud deterrent for many scammers who prefer not to share their own likeness with the company they're looking to defraud.
Advanced machine learning predicts the age of the person in the selfie and checks for mismatches against the date of birth on the ID.