AI-Powered Threat Detection in Cloud Environments Strengthening Access Control Mechanisms

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Puranjay Das; Basavdutta Kar

AI-Powered Threat Detection in Cloud Environments Strengthening Access Control Mechanisms

Authors: Puranjay Das, Basavdutta Kar

Unique Paper ID: 182608
Volume: 12
Issue: 2
PageNo: 2647-2651

Keywords: Artificial Intelligence (AI) Cloud Security Threat Detection Access Control Machine Learning Anomaly Detection Behavioural Analytics Cloud Computing Insider Threats Zero Trust Architecture Multi-Tenant Cloud Real-Time Monitoring Data Privacy Cybersecurity Security Automation Identity and Access Management (IAM) Cloud Infrastructure Predictive Security Adaptive Access Control Intelligent Security Systems

Abstract:
The rapid emergence and evolution of cloud computing have revolutionized the way data is stored and processed. But it has also created various security issues that need to be resolved. Traditional access control methods are often unable to identify and prevent sophisticated threats. This article explores the use of AI in enhancing the detection of threats and improving the security of cloud computing. Through the use of machine learning and behavioral analysis, AI-powered systems can provide more effective and efficient responses to prevent unauthorized access. This paper explores the various AI techniques that are used in the security of cloud computing. It also looks into their effectiveness in hybrid and multi-tenant cloud environments. The study states that threat detection through AI can help improve the agility and precision of access control and contribute to the resilience of modern cloud ecosystems.

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Cite This Article

ISSN: 2349-6002
Volume: 12
Issue: 2
PageNo: 2647-2651

AI-Powered Threat Detection in Cloud Environments Strengthening Access Control Mechanisms

Available:https://ijirt.org/Article?manuscript=182608

Impact Factor
8.01 (Year 2024)

UGC Approved
Journal no 47859

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