AI-Augmented Identity and Access Management for Zero-Trust Architectures in Distributed Enterprises
Keywords:
AI, identity and access management, zero-trust architecture, distributed enterprisesAbstract
In distributed enterprise environments, securing sensitive data and systems has become increasingly complex due to the wide dispersion of resources and varying levels of user access. The traditional approach to cybersecurity, relying on perimeter-based security models, is becoming outdated as organizations adopt more flexible, cloud-based architectures. The zero-trust security model, which assumes no implicit trust and requires continuous verification of every request, offers a more dynamic approach to security in these distributed systems. This paper explores the integration of artificial intelligence (AI) into Identity and Access Management (IAM) systems to enhance the implementation of zero-trust architectures in distributed enterprises. AI-augmented IAM systems provide advanced capabilities for user authentication, access control, and threat detection, ensuring more robust security by analyzing patterns and anomalies in real-time. This paper discusses the components of a zero-trust framework, the role of AI in IAM, and how this integration facilitates more adaptive and resilient security measures for modern enterprise environments. It also explores the challenges and future directions of implementing AI in IAM systems for zero-trust architectures.
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