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  Published Paper Details:

  Paper Title

IDENTITY MANAGEMENT CAPABILITY POWERED BY ARTIFICIAL INTELLIGENCE TO TRANSFORM THE WAY USER ACCESS PRIVILEGES ARE MANAGED, MONITORED AND CONTROLLED

  Authors

  Ishaq Azhar Mohammed

  Keywords

Management of identity and access, artificial intelligence, biometrics and IAM systems, managing identity.

  Abstract


This paper provides a review of how AI powers identity management to allow easy user access privileges. Artificial Intelligence (AI) reshapes enterprises and organizes innovation management. AI may force management, consistent with fast technological progress and the replacement of human organization, to reconsider the whole process of innovation of a business. IAM systems offer administrators tools and technology to alter user roles, monitor user activity, provide reports and continuously implement rules [1]. These systems are developed to offer a method of managing user access throughout a company and to guarantee that corporate rules and government laws are complied with. Identity management's overall objective is to provide access to company assets for which individuals and devices are entitled in a certain situation [2]. This covers onboarding users and systems, authorization, and prompt offboarding of users and devices.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2101579

  Paper ID - 210813

  Page Number(s) - 4719-4723

  Pubished in - Volume 9 | Issue 1 | January 2021

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Ishaq Azhar Mohammed,   "IDENTITY MANAGEMENT CAPABILITY POWERED BY ARTIFICIAL INTELLIGENCE TO TRANSFORM THE WAY USER ACCESS PRIVILEGES ARE MANAGED, MONITORED AND CONTROLLED", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.9, Issue 1, pp.4719-4723, January 2021, Available at :http://www.ijcrt.org/papers/IJCRT2101579.pdf

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ISSN: 2320-2882
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ISSN and 7.97 Impact Factor Details


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ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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