ZERO-TRUST API ARCHITECTURE FOR DISTRIBUTED ENTERPRISE SERVICE ECOSYSTEMS

Abstract

The rapid adoption of cloud-native applications, microservices, hybrid cloud platforms, and distributed enterprise ecosystems has significantly increased the reliance on Application Programming Interfaces (APIs) for secure communication and business integration. Traditional perimeter-based security models are insufficient for protecting modern distributed environments where services continuously communicate across organizational boundaries. This paper proposes a Zero-Trust API Architecture integrating Zero-Trust security principles, OpenAPI Specification, machine learning-based threat detection, API gateways, cloud-native DevSecOps, continuous identity verification, and enterprise governance for distributed service ecosystems. The proposed methodology enforces continuous authentication, fine-grained authorization, policy-based access control, runtime security monitoring, and intelligent anomaly detection throughout the API lifecycle. Experimental evaluation demonstrates improvements in API security, threat detection accuracy, governance efficiency, operational scalability, and enterprise resilience. The proposed framework provides a secure, scalable, and production-ready solution for Zero-Trust API architecture in modern distributed enterprise environments.