The Evolution of Payment Gateways: Integrating Artificial Intelligence for Secure and Efficient Transactions

Abstract

Payment gateways have undergone a profound transformation over five decades—from mechanical card imprinters
and batch dial-up authorisation terminals to cloud-native, API-first platforms processing billions of transactions in real
time. This review traces that evolutionary arc and places particular focus on the most consequential contemporary
development: the systematic integration of artificial intelligence (AI) and automation into gateway security, transaction
efficiency, regulatory compliance, and customer experience. Drawing upon 198 peer-reviewed articles, industry technical
reports, and regulatory documents published between 2015 and 2026, the article provides a chronological taxonomy of
gateway generations, analyses the AI-powered security stack underpinning modern platforms—encompassing machine
learning fraud scoring, graph-based fraud ring detection, behavioural biometrics, and risk-based authentication under 3D
Secure 2.x—and evaluates quantified efficiency gains attributable to AI adoption. It further examines the sociotechnical
dimensions of AI integration, including digital financial inclusion, algorithmic accountability, and the regulatory frameworks
governing AI in payment systems across the European Union, United States, and India. The review synthesises evidence
showing that AI-integrated gateways achieve fraud detection accuracy exceeding 99.2%, authorisation rate improvements
of 3–8 percentage points, AML alert precision improvements from 1–2% to over 40%, and KYC onboarding time reductions
from days to hours. The article concludes by mapping an interdisciplinary research agenda at the intersection of payment
technology, social equity, and AI governance.