AI-driven identity and access management (IAM): The future of zero trust security
Independent Researcher.
Research Article
World Journal of Advanced Research and Reviews, 2024, 21(02), 2076-2082
Article DOI: 10.30574/wjarr.2024.21.2.0266
Publication history:
Received on 19 December 2023; revised on 10 February 2024; accepted on 14 February 2024
Abstract:
Digital transformation operates as an operational force that drives increased management issues regarding identity and access control for large systems. Security threats have increased substantially, so perimeter defense models no longer fulfill current security requirements. Zero Trust Security introduced itself as a security breakthrough based on principal verification before granting access without trust. The framework integrates Identity and Access Management as its central element because it confirms that authorized users obtain access to protected resources. AI partnership with Identity and Access Management (IAM) provides improved security to organizations while improving user experiences to become a critical security foundation of modern protection strategies.
The IAM system uses AI, advanced algorithms, and machine learning elements to assess real-time user behavior. This assessment detects unauthorized activities affecting system entry and security vulnerabilities. UBA allows organizations to establish behavior profiles for typical system usage to get automatic alerts if abnormal activities happen. This forward-oriented security strategy extends possible attack opportunities and reduces users' complications when completing authentication procedures. The combination of security safeguards with modern user convenience has become feasible as a practical method to suit today's digital operational needs.
Through AI integration with IAM inside the Zero Trust structure, organizations can achieve enhanced protection of their digital assets in the future. AI models require suitable solutions for data protection and exact data cleanliness because both factors drive the performance of such models. Organizations need strategies to break down cultural obstacles that resist adopting novel technology and new operating practices. The increasing sophistication of security threats makes robust IAM solutions with AI integration an absolute necessity daily. By implementing this ground-breaking technique, thematic organizations obtain improved security efficacy and operational flexibility alongside operational fault tolerance systems.
Keywords:
AI; Identity Management; Access Management; IAM; Zero Trust Security; Cybersecurity; User Behavior Analytics; Machine Learning; Risk Assessment; Authentication; Fraud Detection; Security Posture; Data Privacy; Least Privilege Access; Continuous Monitoring; Threat Detection; Digital Transformation; Cloud Security; Biometric Authentication; Security Automation; Privacy Compliance; Identity Governance; Multi-Factor Authentication; Adaptive Security; Security Framework; Incident Response; Security Breach; Data Protection; Privileged Access Management; Enterprise Security
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Copyright © 2024 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0