A Multi-Layered Security Framework for Cloud-Native ERP Systems (2026)

Organizational data management has undergone a fundamental transformation as a result of the migration of Enterprise Resource Planning (ERP) systems to cloud computing environments. This migration offers previously unheard-of scalability, but it also exposes vital operational assets to sophisticated cyber threats. Cloud-native ERPs necessitate a paradigm shift based on five fundamental security pillars: confidentiality, integrity, availability, accountability, and privacy. Traditional on-premise security mainly relied on perimeter defences. A thorough, multi-layered security framework that connects these theoretical foundations with cutting-edge enforcement techniques is presented in this paper. The study specifically looks into integrating AI-driven machine learning models for real-time anomaly detection in user behaviour and transaction logs with Zero Trust Architecture (ZTA) to remove implicit trust in multi-tenant SaaS environments. In order to protect data while processing, the paper also investigates sophisticated cryptographic methods, such as homomorphic encryption. This study shows how businesses can sustain ongoing data sovereignty and operational resilience by evaluating this suggested framework against modern attack vectors like sophisticated ransomware and advanced persistent threats (APTs). For security architects protecting next-generation cloud ERP ecosystems, the resulting blueprint offers practical, contemporary guidelines.