Secure Platform Engineering for Multi-Cloud API Platforms: A Unified Model for Identity, Encryption, and Policy Governance

Abstract

Multi-cloud API ecosystems introduce architectural inconsistency, security fragmentation, and increased operational risk due to heterogeneous identity systems, gateway models, policy engines, cryptographic tooling, and observability stacks. As enterprises deploy APIs across AWS, Azure, and GCP, the need for a unified, repeatable, and secure platform engineering model becomes critical. This article proposes a reference architecture for Secure Multi-Cloud API Platform Engineering, emphasizing identity federation, Zero Trust boundaries, policy-driven service communication, encryption-in-transit standards, and cross-cloud governance. Empirical industry data shows rising misconfiguration risks, growing east-west traffic, and elevated attack surfaces in multi-cloud environments. This article provides actionable best practices, a prescriptive architecture model, threat considerations, and implementation guidance for large-scale enterprises seeking a consistent API security posture across heterogeneous cloud providers.