Abstract

In the era of data-driven decision-making, Knowledge Management Systems (KMS) hosted on cloud platforms have become integral to modern organizational strategy, enabling scalable information storage, efficient collaboration, and real-time knowledge dissemination. However, the adoption of cloud-based KMS raises critical concerns regarding compliance with data protection regulations and the safeguarding of sensitive information. This review paper explores the convergence of cloud-based KMS and Artificial Intelligence (AI) technologies to address these challenges. We examine the architecture and functionality of cloud-hosted KMS, identify prevailing data privacy and compliance threats, and investigate AI-driven techniques such as automated compliance monitoring, anomaly detection, and adaptive encryption. The paper also discusses key regulatory frameworks—such as GDPR, HIPAA, and CCPA—and how AI can support their implementation. Finally, we highlight research trends, practical applications, and future directions that position AI as a strategic enabler for secure and compliant knowledge management in the cloud.