Advancing Hybrid Cloud Automation: AI-driven Policy Engines and Compliance-Aware Orchestration in Financial Enterprises

Manchana, Satish (2025) Advancing Hybrid Cloud Automation: AI-driven Policy Engines and Compliance-Aware Orchestration in Financial Enterprises. World Journal of Advanced Engineering Technology and Sciences, 15 (3). pp. 1106-1121. ISSN 2582-8266

The convergence of artificial intelligence and cloud computing is revolutionizing how financial enterprises manage infrastructure, particularly in hybrid environments where regulatory compliance remains paramount. Financial institutions implementing AI-driven governance solutions report reducing compliance incident response time by 78% and decreasing manual audit efforts by 65%. This article explores the evolution of cloud automation in financial services, highlighting the shift from traditional governance approaches to AI-driven policy engines that dynamically enforce regulatory requirements across heterogeneous platforms. It examines how knowledge graphs and semantic modeling enable sophisticated reasoning about compliance states, while compliance-aware orchestration integrates regulatory constraints directly into deployment pipelines. The implementation of autonomous remediation workflows with proper governance oversight represents a paradigm shift, allowing financial institutions to maintain compliance posture with minimal human intervention. By embracing these advanced automation capabilities, financial enterprises can achieve both technological agility and regulatory adherence, transforming compliance from a barrier into an enabler of innovation while strengthening operational resilience in an increasingly complex regulatory landscape.