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

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

Registration ID: IJNRD_227140

Published ID: IJNRD2408413

DOI: Click Here to Get

Kodamasimham Krishna , Dheerender Thakur

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

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.

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"AI-Augmented Zero Trust Architectures in Cloud Computing: Enhancing Security Posture with Predictive Analytics", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.9, Issue 8, page no.e140-e148, August-2024, Available :https://ijnrd.org/papers/IJNRD2408413.pdf

Volume 9 Issue 8, August-2024

Pages : e140-e148

Paper Reg. ID: IJNRD_227140

Published Paper Id: IJNRD2408413

Downloads: 000121148

Research Area: Engineering

Country: -, -, India

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

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

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

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 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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This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition

Call For Paper - Volume 10 | Issue 8 | August 2025

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INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (IJNRD) aims to explore advances in research pertaining to applied, theoretical and experimental Technological studies. The goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working in and around the world. IJNRD will provide an opportunity for practitioners and educators of engineering field to exchange research evidence, models of best practice and innovative ideas.

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