ISSN2456-3315
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Paper Title

Automated Compliance and Threat Detection for Telecom Deployments on AWS

Authors

Jayavelan Jayabalan

Keywords

telecommunications, Amazon Web Services, automated compliance, threat detection

Abstract

The telecommunications industry is undergoing a fundamental shift from traditional on-premises infrastructure to hosted environments in the cloud where cloud-native deployments occur, especially on Amazon Web Services (AWS). This article discusses how telecom organizations can use automated compliance and threat detection frameworks to protect themselves while executing telecom operations in the cloud. It outlines the regulatory challenges faced by telecom companies that are particular for telecom, describes the architectural principles at AWS that support secure deployments, and indicates the various types of AWS native tools available to monitor continuously, leverage behavioral analytics, and enforce compliance

How To Cite

Choose the style your journal or department asks for, then copy it. Every version below is generated from this paper's own record.

IJRTI — journal style
"Automated Compliance and Threat Detection for Telecom Deployments on AWS", IJRTI - International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2456-3315, Vol.10, Issue 8, page no.a464-a472, August-2025, Available :https://ijrti.org/papers/IJRTI2508056.pdf
APA — 7th edition
Jayabalan, J. (2025). Automated Compliance and Threat Detection for Telecom Deployments on AWS. International Journal for Research Trends and Innovation, 10(8), a464-a472. https://doi.org/10.56975/ijrti.v10i8.205667
MLA — 9th edition
Jayabalan, Jayavelan. "Automated Compliance and Threat Detection for Telecom Deployments on AWS." International Journal for Research Trends and Innovation, vol. 10, no. 8, 2025, pp. a464-a472, https://doi.org/10.56975/ijrti.v10i8.205667.
Chicago — 17th, bibliography
Jayabalan, Jayavelan. "Automated Compliance and Threat Detection for Telecom Deployments on AWS." International Journal for Research Trends and Innovation 10, no. 8 (2025): a464-a472. https://doi.org/10.56975/ijrti.v10i8.205667.
Harvard — author–date
Jayabalan, J. (2025) 'Automated Compliance and Threat Detection for Telecom Deployments on AWS', International Journal for Research Trends and Innovation, 10(8), pp. a464-a472. Available at: https://doi.org/10.56975/ijrti.v10i8.205667
IEEE — numbered reference
J. Jayabalan, "Automated Compliance and Threat Detection for Telecom Deployments on AWS," IJRTI, vol. 10, no. 8, pp. a464-a472, Aug. 2025, doi: 10.56975/ijrti.v10i8.205667.
Vancouver — biomedical
Jayabalan J. Automated Compliance and Threat Detection for Telecom Deployments on AWS. IJRTI. 2025 Aug;10(8):a464-a472. doi: 10.56975/ijrti.v10i8.205667
AMA — 11th edition
Jayabalan J. Automated Compliance and Threat Detection for Telecom Deployments on AWS. IJRTI. 2025;10(8):a464-a472. doi:10.56975/ijrti.v10i8.205667
BibTeX — Zotero, Mendeley, LaTeX
@article{IJRTI2508056, author = {Jayavelan Jayabalan}, title = {Automated Compliance and Threat Detection for Telecom Deployments on AWS}, journal = {International Journal for Research Trends and Innovation}, volume = {10}, number = {8}, pages = {a464-a472}, year = {2025}, month = {August}, issn = {2456-3315}, doi = {10.56975/ijrti.v10i8.205667}, url = {https://doi.org/10.56975/ijrti.v10i8.205667} }
RIS — EndNote, RefWorks
TY - JOUR AU - Jayabalan, Jayavelan TI - Automated Compliance and Threat Detection for Telecom Deployments on AWS T2 - International Journal for Research Trends and Innovation JA - IJRTI VL - 10 IS - 8 PY - 2025 SN - 2456-3315 DO - 10.56975/ijrti.v10i8.205667 UR - https://doi.org/10.56975/ijrti.v10i8.205667 SP - a464-a472 ER -

Issue

Volume 10 Issue 8, August-2025
Pages : a464-a472

Other Publication Details

Paper Reg. ID IJRTI_205667
Published Paper ID IJRTI2508056
Downloads 205,638
Research Area Engineering
Country Hayward, California, United States
Published August 2025
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About Publisher

International Journal for Research Trends and Innovation Published by IJRTI (JW Publication)
2456-3315 ISSN
10.57 Impact Factor
2016 ESTD Year
Open Access
Impact Factor 10.57 calculated by Google Scholar and Semantic Scholar.
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 10.57 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
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Licence

© 2025 — Authors hold the copyright of this article. This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0), which permits unrestricted use, distribution and reproduction in any medium, provided the original author and source are credited.
 Disclaimer: The content, data and findings in this article are based on the authors’ research and have been peer-reviewed for academic purposes only. Readers are advised to verify all information before practical or commercial use. The journal and its editorial board are not liable for any errors, losses or consequences arising from its use.

Declarations

Funding

No external funding was received for this study.

Conflict of Interest

The authors declare that they have no conflict of interest.

Acknowledgements

The authors would like to thank the reviewers and the editorial board of International Journal for Research Trends and Innovation for their careful reading and constructive comments, and all colleagues who supported the preparation of this manuscript.

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