
Identity Security in the AI Era
Business Expert Press
Published on 26. February 2026
212 pages
978-1-63742-933-4 (ISBN)
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Description
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Identity Security in the AI Era addresses one of the most urgent challenges in cybersecurity today: safeguarding digital identities in a world transformed by artificial intelligence. As enterprises embrace cloud technologies, automation, and data-driven systems, identity has become the new perimeter and the most common target. This book provides a practical framework for understanding how AI is reshaping identity threats and offers actionable strategies to build resilience.
Drawing on real-world experience and applied research, the authors explore how to integrate zero-trust principles, responsible AI practices, and adaptive controls into enterprise environments. The text examines key issues, including adversarial AI, supply chain risks, post-quantum readiness, and identity-first security models, translating complex concepts into clear, implementable guidance.
Designed for cybersecurity practitioners, IT leaders, and policy professionals, Identity Security in the AI Era delivers insight into how organizations can innovate securely while maintaining compliance and protecting critical infrastructure.
Drawing on real-world experience and applied research, the authors explore how to integrate zero-trust principles, responsible AI practices, and adaptive controls into enterprise environments. The text examines key issues, including adversarial AI, supply chain risks, post-quantum readiness, and identity-first security models, translating complex concepts into clear, implementable guidance.
Designed for cybersecurity practitioners, IT leaders, and policy professionals, Identity Security in the AI Era delivers insight into how organizations can innovate securely while maintaining compliance and protecting critical infrastructure.
More details
Language
English
Place of publication
Sterling Forest
United States
Product notice
Reflowable
ISBN-13
978-1-63742-933-4 (9781637429334)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions

Ankit Gupta | Shilpi Mittal
Identity Security in the AI Era
Book
02/2026
Business Expert Press
€31.90
Shipment within 10-20 days
Persons
Ankit Gupta is a seasoned cybersecurity leader with over 15 years of experience in cloud security, identity management, AI governance, and zero-trust frameworks. He holds a master's degree in Cybersecurity from New York University and multiple global certifications. His work focuses on advancing resilience, compliance, and digital trust, with a particular emphasis on protecting supply chains and critical infrastructure.
Shilpi Mittal is a cybersecurity professional and researcher with expertise in application security, cloud security, and identity governance. She holds a Master of Science in Information Systems from the University of Utah and several industry certifications. Her research focuses on AI-driven automation, secrets management, and post-quantum resilience, with a particular emphasis on strengthening global supply chains.
Shilpi Mittal is a cybersecurity professional and researcher with expertise in application security, cloud security, and identity governance. She holds a Master of Science in Information Systems from the University of Utah and several industry certifications. Her research focuses on AI-driven automation, secrets management, and post-quantum resilience, with a particular emphasis on strengthening global supply chains.
Content
- IDENTITY SECURITY IN THE AI ERA
- Identity Security in the AI Era
- Identity Security in the AI Era
- Description
- Contents
- List of Figures
- Acronym Glossary
- PART I
- Foundations
- CHAPTER 1
- Introduction to Identity Security in the AI Era
- The Evolving Threat Landscape in an AI-Driven World
- Real-World Case Studies Across Sectors
- Finance: Breach at a Global Bank
- Sidebar-Practical Tip (Finance)
- Healthcare: Hospital Ransomware via Stolen Credentials
- Sidebar-Compliance Note
- Manufacturing and Industrial: Compromised Credentials in a Factory Breach
- Government: Nation-State Attack via Identity Compromise
- Sidebar-Executive Order and Zero Trust
- Identity Security Fundamentals and Lifecycle
- Sidebar-Identity as an Enabler
- Identity Security Technologies and Solutions
- Sidebar-Vendor Diversity
- Practical Tips for Strengthening Identity Security
- Sidebar-Measure and Mature
- The Identity Security Landscape: Key Players and Platforms
- CHAPTER 2
- Zero Trust Fundamentals for AI-Driven Organizations
- Core Principles of Zero Trust
- Pillars of Zero Trust Architecture
- Zero Trust Architecture Components and Flow
- Core Components
- Policy Decision and Enforcement
- Continuous Monitoring during Session
- Resource Access and Logs
- Implementing Zero Trust: From Vision to Reality
- Step 1: Strengthen Identity and Access Management
- Practical Tip
- Step 2: Establish Device Trust
- Step 3: Segmentation and Access Proxy
- Step 4: Continuous Monitoring and Automated Response
- Step 5: Expand and Refine Policies
- Step 6: Embrace Automation and AI for Policy Optimization
- Sidebar-Common Pitfalls
- Zero Trust in Practice: Use Cases and Platforms
- Vendor and Tool Support for Zero Trust
- Practical Zero Trust Tips
- PART II
- Identity in AI Pipelines
- CHAPTER 3
- Machine and Workload Identities in AI Systems
- Understanding Machine and Workload Identities
- Why Are Machine Identities so Important?
- Managing Workload Identities in Microsoft Entra (Azure AD)
- Other Platforms: Okta and CyberArk Perspectives
- Okta's Approach
- CyberArk's Approach
- Summary (Chapter 3)
- CHAPTER 4
- Identity Management Across the AI Development Lifecycle
- Identities and Roles in the AI/ML Pipeline
- Securing Data Access for AI
- Identity in MLOps (CI/CD for AI)
- Best Practice-Segregation of Duties
- Auditing and Traceability
- Continuous Improvement
- Summary (Chapter 4)
- CHAPTER 5
- Securing Autonomous Agents and AI Services
- The Rise of Digital Agents in the Workforce
- Microsoft Entra Agent ID Case Study
- What Is Entra Agent ID?
- Permission Scoping and Risk Mitigation for Agents
- Integrating Agents into Identity Governance
- Key governance practices for AI agents:
- Conclusion (Chapter 5)
- PART III
- Adaptive Security and Threat Detection
- CHAPTER 6
- Adaptive Access Controls and Contextual Authentication
- From Static Rules to Dynamic Policies
- Building Conditional Access Policies
- Continuous Access and Session Monitoring
- Balancing Security and Usability
- Summary (Chapter 6)
- CHAPTER 7
- Behavior-Based Risk Scoring and Anomaly Detection
- Risk Scoring in Identity Platforms
- User and Entity Behavior Analytics (UEBA)
- Acting on Anomalies and Risks
- Privacy and Ethical Considerations
- Summary (Chapter 7)
- CHAPTER 8
- Detecting and Responding to Identity Attacks
- Traditional Identity Attacks and Their Telltale Signs
- Emerging Threats in the AI Era
- Detection Tools and Signals in Modern Identity Systems
- Responding to Identity Attacks: Incident Response and Containment
- PART IV
- Cross-Platform Integration and Future
- CHAPTER 9
- Cross-Platform Identity Security Patterns
- The Need for Unified Identity Security
- Multi-Cloud Strategies and Vendor Tools
- Case Study: Integrating Identity Across Platforms
- Cross-Platform Nonhuman Identities
- Maintaining Security Consistency
- CHAPTER 10
- The Future of Identity Security in an AI-Driven World
- AI-Augmented Identity Security
- The Changing Threat Landscape: AI-Empowered Adversaries
- Explosion of Identities: IoT, Robots, and Beyond
- Privacy and Regulatory Impact
- Passwordless and Beyond
- Resilience and Futureproofing
- Conclusion: Navigating the Future
- Embracing AI for Defense
- Eliminating Passwords and Silos
- Adaptive, Zero Trust-Centric Control
- Identity as the New Perimeter
- References
- About the Authors
- Index
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