Autonomous Identity Intelligence: AI-Driven IAM Architecture for Zero Trust Cloud Enterprises

Abstract

Autonomous Identity Intelligence: AI-Driven IAM Architecture for Zero Trust Cloud Enterprises

Objectives:
1. To explain the evolution of Identity and Access Management (IAM) from traditional models
to AI-driven autonomous identity intelligence.
2. To design Zero Trust IAM architectures for secure, scalable cloud and multi-cloud
environments.
3. To implement AI-powered identity lifecycle management with automated provisioning,
authentication, and access control.
4. To analyse risk-based access and threat detection using behavioural analytics and
continuous authentication.
5. To address governance, compliance, and ethical challenges in AI-enabled IAM systems.

Table of Contents
CHAPTER 1 The New Perimeter is Identity
CHAPTER 2 Foundations of Identity and Access Management (IAM)
CHAPTER 3 The Zero Trust Mandate: Principles and Frameworks
CHAPTER 4 Introducing Artificial Intelligence for Smarter IAM
CHAPTER 5 Architecting the AI-Driven IAM System
CHAPTER 6 Building the Zero Trust Identity Fabric
CHAPTER 7 Continuous Adaptive Trust: Core Security Functions
CHAPTER 8 AI-Powered Identity Governance and Administration (IGA)
CHAPTER 9 Securing Privileged Access with AI
CHAPTER 10 Implementation Roadmap: From Strategy to Operation
CHAPTER 11 Autonomous Identity in Action: Industry Case Studies
CHAPTER 12 The Future of Identity and Ethical Horizons