UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 9 Issue 10
October-2022
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR2210406


Registration ID:
503821

Page Number

e33-e37

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Title

A literature review on the tools for Identity Access Management using AI

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Abstract

Abstract- The purpose of this research is to explore how artificial intelligence may benefit in the context of identity and access management in a cloud computing environment. With the increasing use of cloud technologies, security, compliance, and operations, teams must contend with a host of new issues. Despite the operational benefits of cloud platforms like "AWS, Microsoft Azure, and Google Cloud Platform (GCP)", they also present additional problems for an organization's ability to secure data in the cloud and meet ever-increasing regulatory requirements. The identity and access management system (IAM) is a prime requisite in cybersecurity in any organization. In addition to mitigating data breaches, it also helps to manage the risks associated with working remotely (especially after covid times) and bringing your device – BYOD – into the workplace. Internal data synchronization, customer contact preference management, and fulfilling privacy compliance standards are just a few of the important tasks that IAM is continuously developing to handle in the modern world [1]. It is important to develop a well thought and well-developed IAM strategy. Determining who should have access to what information is a tough decision for many companies, and this difficulty makes their information systems insecure. Forrester's study found that 83 percent of companies do not have a mature strategy for identity and access management (IAM). When compared to companies that have implemented their IAM strategy, these companies are twice as likely to have difficulties because of a security breach [1]. We have found a clear positive correlation between better IAM methods and decreased security risk, enhanced productivity, greater privileged activity control, and reduced financial losses, according to the study. A comprehensive and smart solution to Identity and Access Management (IAM) is an integration of artificial intelligence against the cyber security risk in cloud computing. Companies have been able to condense the many identities of each user into a couple or, preferably, one identity and establish a single set of responsibilities, rules, processes, and proof of that identity. This method substantially automates IAM utilizing artificial intelligence, which enhances user and IT efficiency and optimizes safety and compliance. This paper demonstrates how the intelligent IAM interacts with artificial intelligence to streamline many important tasks such as identity management in the cloud computing environment.

Key Words

Keywords: Identity and Access Management (IAM), artificial intelligence, automation, Internet of Things (IoT), Multi-Factor Authentication (MFA),block chain

Cite This Article

"A literature review on the tools for Identity Access Management using AI", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 10, page no.e33-e37, October-2022, Available :http://www.jetir.org/papers/JETIR2210406.pdf

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2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"A literature review on the tools for Identity Access Management using AI", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 10, page no. ppe33-e37, October-2022, Available at : http://www.jetir.org/papers/JETIR2210406.pdf

Publication Details

Published Paper ID: JETIR2210406
Registration ID: 503821
Published In: Volume 9 | Issue 10 | Year October-2022
DOI (Digital Object Identifier):
Page No: e33-e37
Country: Kalyani Nagar, Pune 6 , Maharashtra , India, Maharashtra, India .
Area: Management
ISSN Number: 2349-5162
Publisher: IJ Publication


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