Zero Trust Security for AI-Driven Payment Systems in Multi-Cloud Environments

Abstract

A significant change in cybersecurity paradigms has been required as a result of the widespread deployment of multi-cloud architecture and the incorporation of artificial intelligence into payment systems. Sophisticated and dispersed AI-driven payment ecosystems have not been adequately protected by conventional perimeter-based security solutions. By applying the tenet of "never trust, always verify" to every access request, zero trust security models have become a reliable solution. Continuous authentication, microsegmentation, AI-powered security frameworks, and thorough data protection techniques are all included in the deployment of Zero Trust systems. Security posture, operational efficiency, and regulatory compliance have been significantly improved for enterprises through the use of phased deployment strategies and strategic technology integration. With the addition of complex cross-cloud security controls, improved AI capabilities, and advanced authentication techniques, these security frameworks are still evolving to keep up with new technology. The effective application of Zero Trust concepts has shown significant advantages in safeguarding vital financial infrastructure while preserving operational flexibility and satisfying changing legal requirements in several jurisdictions.