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STUDY OF CLOUD COMPUTING SECURITY MEASURES AND RISKS

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dc.contributor.author Patil, Rakesh L.
dc.contributor.author Soman, Sudhir
dc.date.accessioned 2024-09-26T07:17:41Z
dc.date.available 2024-09-26T07:17:41Z
dc.date.issued 2024-01
dc.identifier.citation STUDY OF CLOUD COMPUTING SECURITY MEASURES AND RISKS en_US
dc.identifier.issn 0378-4568
dc.identifier.uri http://localhost:8080/xmlui/handle/123456789/16941
dc.description.abstract The work environment of today can be anywhere. Enterprise mobile security solutions that facilitate the flexible delivery of apps, content, and resources across devices and guarantee a strong cybersecurity posture are essential for a secure mobile workforce, as stated by CIOs, CISOs, and their teams. In order to safeguard against sophisticated threats like ransomware and phishing and to effectively address any vulnerabilities, these leaders require strategic options for mobile security threats and prevention, regardless of whether they are supporting bring your own device (BYOD), choose your own device (CYOD), or a corporate-liable environment. These alternatives include containerisation of missioncritical resources, security policies, behavioural analysis, and risk insights. In this paper we are going to understand and learn about how Microsoft azure is providing cloud security to its customers, Azure AI shared responsibility model en_US
dc.language.iso en en_US
dc.publisher Sardar Patel Institute of Economic and Social Research en_US
dc.relation.ispartofseries Vol-54;No-1 (VI)
dc.subject Cloud computing en_US
dc.subject Cloud Security en_US
dc.subject AI Responsibility model en_US
dc.title STUDY OF CLOUD COMPUTING SECURITY MEASURES AND RISKS en_US
dc.type Article en_US


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