AI Identities
Apress (Verlag)
979-8-8688-2033-5 (ISBN)
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AI Identities introduces a groundbreaking concept: AI Agents should be recognized and governed as a new class of identity within enterprise environments. As artificial intelligence evolves from predictive models to autonomous agents with memory, goals, and tool access, enterprises face a new spectrum of identity risk that transcends traditional IAM frameworks. This book lays out the philosophical, architectural, and operational foundations necessary to govern these intelligent machine identities across their lifecycles.
Structured across six parts, the book begins by grounding readers in identity security and ownership. It then introduces the concept of AI agents as complex, evolving identities that demand governance, not just access control. It offers practical guidance on lifecycle management, trust, discovery, and incident response for AI agents, and concludes with future-facing perspectives on human-AI collaboration, critical infrastructure, and compliance.
This is not a coding manual or abstract ethics book it s a field guide for security professionals, architects, and digital leaders who must design, secure, and take responsibility for the AI identities acting on behalf of their organizations. The writing is crisp, deeply informed, and structured to support real-world decision-making in an era where the lines between automation and agency are quickly disappearing.
WHAT YOU WILL LEARN:
- Understand the emerging category of AI Identities and how they differ from traditional machine accounts.
- Develop strategies for ownership, governance, and lifecycle control of AI agents in enterprise environments.
- Build a framework for discovery, trust scoring, explainability, and behavioral auditing of autonomous agents.
- Learn how to respond to security incidents involving intelligent agents and prevent cascading failures.
- Gain insights into the future of human-AI collaboration and the governance challenges posed by agentic AI.
WHO THIS BOOK IS FOR
This book is for enterprise security architects, identity professionals, risk officers, and technology executives responsible for the governance and security of digital systems. It is written to inform decision-makers and practitioners who need to understand how to integrate AI agents into their existing identity, compliance, and security programs.
Rosario Mastrogiacomo is the Chief Strategy Officer at SPHERE, a cybersecurity firm specializing in identity hygiene and data governance. With three decades of experience in the field, Rosario leads initiatives that blend strategy, innovation, and AI to solve some of the most pressing identity security challenges. He is a recognized speaker, thought leader, and host of the podcast Smells Like Identity Hygiene, where he explores the intersections of cybersecurity, automation, and human responsibility. Rosario is also the author of widely circulated industry articles and a contributor to executive-level conversations around the role of AI in enterprise identity and risk management.
Introduction Governing AI Identities in a Post-Automation World 9.- PART 1: Identity Security 11.- Chapter 1: The New Actors (Introduction) 11.- Chapter 2: Introducing AI Agents Automation Reimagined 18.- Chapter 3. Understanding Identity Security (Primer) 23.- Chapter 4: Ownership as a Security Control 29.- PART 2: Identity Security and AI 34.- Chapter 5. What AI Agents Really Are AI Identities and the Case for a New Category 34.- Chapter 6. The Evolution of Identity Governance 46.- Chapter 7: Technical Implementation of AI Identity Governance 49.- Chapter 8: Delegation, Authority, and the Risk of Agent Autonomy 54.- PART 3: Securing AI Agents with RAISE 61.- Chapter 9: The RAISE Framework for Governing AI Identities 61.- Chapter 10: REVEAL - Discovery and Inventory of AI Identities 68.- Chapter 11: ASSIGN - Ownership in the Age of AI 76.- Chapter 12: INTERPRET - Trust, Explainability, and AI Agent Reputation 81.- Chapter 13: SECURE - Building Resilience into AI Identity Lifecycles 92.- Chapter 15: EVALUATE - The Lifecycle of an AI Identity 104.- PART 4: Operational and Strategic Considerations 109.- Chapter 16: Navigating Complex Regulatory and Compliance Frameworks for AI Identities 109.- Chapter 17: Security Controls and Countermeasures for AI Identities 117.- Chapter 18: Managing Third-Party and Vendor AI Identity Risks in the Supply Chain 122.- Chapter 19: Malicious Use and Insider Threats in AI Identity Systems 125.- Chapter 20: When AI Goes Off Script Real-World Agentic AI Failures 129.- Chapter 22: Incident Response and Resilience for AI Identities 138.- Chapter 23: Forensics for AI Identities 141.- Chapter 24: Ethical Considerations and Responsible AI Governance 144.- Chapter 25: AI Identities in Critical Infrastructure 148.- Chapter 26: Operationalizing AI Identity Governance A CISO s Playbook 152.- Part 5: Looking Ahead 156.- Chapter 27: Future-Proofing and Strategic Roadmaps for AI Identity Governance 156.- Chapter 28: The Future Role of the Identity Architect 160.- Chapter 29: Human-AI Collaboration and the Future of Work 164.
| Erscheinungsdatum | 29.11.2025 |
|---|---|
| Zusatzinfo | 39 Illustrations, black and white |
| Verlagsort | Berkley |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Themenwelt | Informatik ► Netzwerke ► Sicherheit / Firewall |
| Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik | |
| Schlagworte | Agentic AI • AI agents • AI Identities • Autonomous Systems • cybersecurity • Digital Identity • IAM • Identity Governance • Machine Identity Lifecycle • Privileged Access Management • responsible AI • Security Risk |
| ISBN-13 | 979-8-8688-2033-5 / 9798868820335 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
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