Advanced International Journal of Multidisciplinary Research

E-ISSN: 2584-0487

An Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 3 Issue 2 March-April 2025 Submit your research before last 3 days of April to publish your research paper in the issue of March-April.
Submit Research Paper Join as a Reviewer

Plagiarism is checked by the leading plagiarism checker TurnItIn

Call for Paper

Volume 3 Issue 2
March-April 2025

Submit your research paper

Achieving Regulatory Compliance in Cloud Computing through ML

Author(s) Sanjeev Prakash, Jesu Narkarunai Arasu Malaiyappan, Kumaran Thirunavukkarasu, Munivel Devan
Country United States
Abstract In today's dynamic cloud computing landscape, achieving regulatory compliance presents significant challenges for organizations due to evolving security threats and complex legal requirements. This research paper explores the role of machine learning (ML) in enhancing regulatory compliance within cloud environments. The study reviews current regulatory frameworks, compliance challenges, and the impact of non-compliance on organizations. By analysing real-world case studies, including Microsoft Azure Sentinel and Google Cloud's Data Loss Prevention (DLP) API, this paper demonstrates how ML technologies can automate compliance tasks, enhance security, and improve reporting accuracy. Key benefits of ML integration include efficiency gains, cost reductions, enhanced security, and improved auditability. Furthermore, emerging trends in ML techniques, such as deep learning and federated learning, are discussed along with actionable recommendations for successful ML implementation in cloud compliance strategies. The findings emphasize the importance of investing in data governance, continuous monitoring, and interpretability of ML models to ensure ethical and effective compliance management. Overall, this research sheds light on the transformative potential of ML in optimizing regulatory compliance practices and outlines future directions for leveraging advanced technologies to address evolving compliance challenges.
Keywords Cloud computing, regulatory compliance, machine learning, security, automation, data governance, risk mitigation, future trends, deep learning, federated learning. Top of Form
Discipline Computer > AI / ML
Published In Volume 2, Issue 2, March-April 2024
Published On 2024-04-24
Cite This Achieving Regulatory Compliance in Cloud Computing through ML - Sanjeev Prakash, Jesu Narkarunai Arasu Malaiyappan, Kumaran Thirunavukkarasu, Munivel Devan - AIJMR Volume 2, Issue 2, March-April 2024. DOI 10.62127/aijmr.2024.v02i02.1038
DOI https://doi.org/10.62127/aijmr.2024.v02i02.1038
Short DOI https://doi.org/gtrsr3
View / Download Full-text Research PDF File

Share this



E-ISSN 2584-0487
Downloads
Cover Page Vol 2 Isu 5 Cover Page Vol 2 Isu 4 Cover Page Vol 2 Isu 3 Research Paper Format

All research papers published on this website are licensed under Creative Commons Attribution-ShareAlike 4.0 International License, and all rights belong to their respective authors/researchers.

CC-BY-SA Open Access

About AIJMR
Fees & Payment
Current Issue
Publication Archive 		Submit Research Paper
Track Submission Status
Publication Guidelines
Publication Ethics
Peer Review & Plagiarism 		Join as a Reviewer
Editors & Reviewers
Reviewer Referral Program
Get Reviewer Membership Certi. 		Website/Journal Policies
Usage Policy
Content Policies
Privacy Policy
Contact Us +91-9328-605090 editor@aijmr.com