AI-Powered Compliance Engineering and Autonomous Monitoring for Highly Regulated Cloud Ecosystems
Abstract
The increasing adoption of cloud computing in highly regulated industries such as healthcare, finance, government, and telecommunications has introduced significant challenges related to regulatory compliance, security governance, and operational transparency. Organizations must comply with evolving legal frameworks, industry standards, and data protection regulations while maintaining agility and innovation in cloud environments. Traditional compliance management approaches often rely on manual audits, periodic assessments, and human-driven monitoring processes, which may be insufficient in dynamic cloud ecosystems. AI-powered compliance engineering and autonomous monitoring have emerged as transformative solutions for addressing these challenges. By integrating artificial intelligence, machine learning, automation, and real-time analytics into compliance processes, organizations can continuously assess regulatory adherence, detect anomalies, identify policy violations, and implement corrective actions proactively. Autonomous monitoring systems leverage predictive intelligence and cloud-native technologies to provide continuous visibility across distributed infrastructures and multi-cloud environments. This research explores the role of AI-powered compliance engineering frameworks in supporting regulatory governance within highly regulated cloud ecosystems. It examines the integration of intelligent monitoring systems, automated compliance verification, and adaptive risk management mechanisms. The findings suggest that AI-driven compliance solutions significantly enhance operational efficiency, improve regulatory adherence, reduce compliance costs, and strengthen organizational resilience. The study concludes that autonomous compliance engineering represents a critical component of future cloud governance strategies.
Article Information
Journal |
International Journal of Advanced Engineering Science and Information Technology (IJAESIT) |
|---|---|
Volume (Issue) |
Vol. 8 No. 5 (2025): International Journal of Advanced Engineering Science and Information Technology (IJAESIT) |
DOI |
|
Pages |
17293-17302 |
Published |
September 16, 2025 |
| Copyright | |
Open Access |
This work is licensed under a Creative Commons Attribution 4.0 International License. |
How to Cite |
Rodrigo Turini (2025). AI-Powered Compliance Engineering and Autonomous Monitoring for Highly Regulated Cloud Ecosystems. International Journal of Advanced Engineering Science and Information Technology (IJAESIT) , Vol. 8 No. 5 (2025): International Journal of Advanced Engineering Science and Information Technology (IJAESIT) , pp. 17293-17302. https://doi.org/10.15662/IJAESIT.2025.0805012 |
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