<b>AI-Enhanced Customer Authentication and Onboarding</b>

Integrating Artificial Intelligence (AI) in customer authentication and onboarding has revolutionized fintech operations by enhancing security, reducing fraud risks, and streamlining verification processes. Traditional authentication methods often suffer from inefficiencies, high costs, and vulnerability to identity theft. AI-driven solutions, leveraging biometric identification, behavioral analytics, and machine learning algorithms, provide a seamless yet highly secure onboarding experience. These technologies reduce friction in customer acquisition and improve regulatory compliance and fraud detection. This paper explores the core concepts, technical innovations, and real-world applications of AI-powered authentication in banking and fintech. Additionally, it examines the challenges associated with AI-based identity verification, including data privacy concerns and regulatory constraints. The study concludes with an outlook on the future of AI-enhanced authentication and its potential to reshape digital financial services.

Publication Details

Journal
Figshare
Published
2025-01-01
DOI
https://doi.org/10.6084/m9.figshare.28776257
Primary Topic
FinTech, Crowdfunding, Digital Finance
Type
article
Field-Weighted Citation Impact
0.00
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article

AI-Enhanced Customer Authentication and Onboarding

Figshare
FinTech, Crowdfunding, Digital Finance
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AI-Enhanced Customer Authentication and Onboarding

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Abstract

Integrating Artificial Intelligence (AI) in customer authentication and onboarding has revolutionized fintech operations by enhancing security, reducing fraud risks, and streamlining verification processes. Traditional authentication methods often suffer from inefficiencies, high costs, and vulnerability to identity theft. AI-driven solutions, leveraging biometric identification, behavioral analytics, and machine learning algorithms, provide a seamless yet highly secure onboarding experience. These technologies reduce friction in customer acquisition and improve regulatory compliance and fraud detection. This paper explores the core concepts, technical innovations, and real-world applications of AI-powered authentication in banking and fintech. Additionally, it examines the challenges associated with AI-based identity verification, including data privacy concerns and regulatory constraints. The study concludes with an outlook on the future of AI-enhanced authentication and its potential to reshape digital financial services.

Figshare
Peace, Justice and strong institutions
Openalex Percentile: Top 37%
FinTech, Crowdfunding, Digital Finance
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<b>AI-Enhanced Customer Authentication and Onboarding</b> · Figshare (2025) | TGRS Research Map | TGRS