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SELF-ADAPTIVE IDENTITY MANAGEMENT: FUTURE-PROOFING IAM FOR DYNAMIC ENVIRONMENTS
"Self-Adaptive Identity Future-Proofing IAM for Dynamic Environments" is a comprehensive exploration of the evolving field of Identity and Access Management (IAM) systems. As organizations shift from traditional, static access models to dynamic environments driven by remote work, cloud computing, and distributed teams, the need for smarter, more adaptable IAM solutions has become critical. This book delves into the transformative power of self-adaptive IAM, a cutting-edge approach that leverages artificial intelligence (AI), machine learning (ML), and behavioral analytics to provide real-time, context-aware access management.
Readers will gain valuable insights into the core technologies driving self-adaptive IAM, including AI-powered automation, real-time decision making, and the shift from role-based to attribute-based access control (ABAC). The book also tackles the ethical implications, privacy concerns, and compliance challenges associated with these advanced systems.
From improving security by continuously monitoring user behavior to ensuring regulatory compliance in an increasingly data-driven world, Self-Adaptive Identity Management equips professionals with the tools and knowledge needed to future-proof IAM in dynamic, modern environments.
Whether you’re an IT manager, security professional, or decision-maker looking to enhance your organization’s identity management practices, this book provides practical solutions, real-world case studies, and future-facing strategies to help you navigate the complexities of self-adaptive IAM.
Readers will gain valuable insights into the core technologies driving self-adaptive IAM, including AI-powered automation, real-time decision making, and the shift from role-based to attribute-based access control (ABAC). The book also tackles the ethical implications, privacy concerns, and compliance challenges associated with these advanced systems.
From improving security by continuously monitoring user behavior to ensuring regulatory compliance in an increasingly data-driven world, Self-Adaptive Identity Management equips professionals with the tools and knowledge needed to future-proof IAM in dynamic, modern environments.
Whether you’re an IT manager, security professional, or decision-maker looking to enhance your organization’s identity management practices, this book provides practical solutions, real-world case studies, and future-facing strategies to help you navigate the complexities of self-adaptive IAM.
88 pages, Kindle Edition
Published October 23, 2024
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