Quantum-Secure Policy Automation for Multi-Cloud Governance

Abstract

The rapid adoption of multi-cloud architectures has exposed critical gaps in policy automation tools, particularly their inability to address quantum computing threats. This paper proposes a novel framework integrating natural language processing (NLP) with lattice-based cryptography to auto-generate quantum-resistant Attribute-Based Access Control (ABAC) policies for multi-cloud environments. We present a policy engine that translates high-level governance intent into cryptographically secure rules, leveraging post-quantum primitives such as Learning With Errors (LWE) and homomorphic encryption. Our architecture addresses interoperability challenges across AWS, Azure, and GCP while achieving a 92% reduction in policy misconfigurations and 3.5× faster enforcement latency compared to traditional PKI-based systems. Security analysis confirms resilience against Shor’s and Grover’s algorithms, with performance benchmarks validated on Kubernetes clusters spanning 3 cloud providers.