Paper Title

AI-Augmented Zero Trust Architectures in Cloud Computing: Enhancing Security Posture with Predictive Analytics

Article Identifiers

Registration ID: IJNRD_227140

Published ID: IJNRD2408413

DOI: Click Here to Get

Authors

Kodamasimham Krishna , Dheerender Thakur

Keywords

Artificial Intelligence (AI), Zero Trust Architecture (ZTA), Predictive Analytics, Cloud Security, Threat Detection, Risk Assessment, Data Privacy, Cybersecurity

Abstract

Combining AI with ZTA and predictive analysis is a cutting-edge cloud security methodology or a new disruptive paradigm. This combined approach takes advantage of AI for real-time threat identification and response. At the same time, predictive analytics gives insight into possible threats and weaknesses that could be capitalized on. This paper aims to examine how AI-based ZTA amplifies conventional security solutions by continuously authenticating users and access requests, implementing strict access controls, and changing with threats. These capabilities are well supported by predictive analytics focusing on historical and real-time data to predict security incidents and the overall security risk level. The combination of these technologies is not on a more progressive and reinforced protection comparison to reactive security paradigms. Implementation issues like difficulties in deploying the system, data credibility, and privacy issues are elaborated, as well as future trends like improving the machine learning algorithms, incorporating autonomous systems for security, and integrating modern technologies into the system.

How To Cite (APA)

Kodamasimham Krishna & Dheerender Thakur (August-2024). AI-Augmented Zero Trust Architectures in Cloud Computing: Enhancing Security Posture with Predictive Analytics. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 9(8), e140-e148. https://ijnrd.org/papers/IJNRD2408413.pdf

Issue

Volume 9 Issue 8, August-2024

Pages : e140-e148

Other Publication Details

Paper Reg. ID: IJNRD_227140

Published Paper Id: IJNRD2408413

Downloads: 000121978

Research Area: Engineering

Country: -, -, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2408413.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2408413

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Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

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Call For Paper - Volume 10 | Issue 10 | October 2025

IJNRD is a Scholarly Open Access, Peer-reviewed, and Refereed Journal with a High Impact Factor of 8.76 (calculated by Google Scholar & Semantic Scholar | AI-Powered Research Tool). It is a Multidisciplinary, Monthly, Low-Cost Journal that follows UGC CARE 2025 Peer-Reviewed Journal Policy norms, Scopus journal standards, and Transparent Peer Review practices to ensure quality and credibility. IJNRD provides indexing in all major databases & metadata repositories, a citation generator, and Digital Object Identifier (DOI) for every published article with full open-access visibility.

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Important Dates for Current issue

Paper Submission Open For: October 2025

Current Issue: Volume 10 | Issue 10 | October 2025

Impact Factor: 8.76

Last Date for Paper Submission: Till 31-Oct-2025

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