Infrastructure agents multi agent systems (5 Ergebnisse)

Zustand: Very Good. Former library copy. Pages intact with possible writing/highlighting. Binding strong with minor wear. Dust jackets/supplements may not be included. Includes library markings. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.

Taschenbuch. Zustand: Neu. Neuware - Modern enterprises are rapidly deploying autonomous AI agents that can access data, call APIs, trigger workflows, and coordinate with other systems at machine speed. But here is the critical challenge: how do you secure systems that think, act, and delegate on their own Without a strong security foundation, agentic AI systems introduce serious risks, unchecked tool access, credential leakage, prompt injection attacks, privilege escalation through delegation chains, and silent data exposure across enterprise infrastructure. Traditional security models were not designed for autonomous systems operating with dynamic decision-making capabilities.Practical Zero Trust Security for Agentic AI Systems delivers a production-focused approach to solving this problem using modern Zero Trust architecture principles. This book shows you exactly how to design, implement, and secure autonomous AI systems in real enterprise environments. You will learn how to apply identity-first security, enforce least-privilege execution, and build runtime policy controls that continuously validate every action an AI agent performs.Rather than theory, this book focuses on implementation patterns used in modern cloud-native and enterprise platforms. You will work with practical architectures involving workload identities, policy-as-code, secure orchestration, and runtime enforcement across single-agent and multi-agent systems.By the end of this book, you will be able to confidently design and secure production-grade agentic AI systems using techniques such as: - Non-human identity management for AI agents using modern IAM principles- Secure multi-agent workflows with controlled delegation and trust boundaries- Fine-grained authorization using relationship-based access control models like OpenFGA- Secure secrets management and credential isolation using tools like Vault- Runtime enforcement using policy engines, sandboxing, and execution gates- Protection against prompt injection, tool abuse, and agent escalation attacks- Enterprise integration with Kubernetes, service meshes, and API/AI gateways- Continuous observability, auditing, and incident response for autonomous systemsIf you are building or securing AI agents in production, this book gives you the architectural clarity and hands-on implementation strategies needed to move from experimental systems to hardened enterprise infrastructure.Secure your copy of Practical Zero Trust Security for Agentic AI Systems and start building autonomous AI systems that are powerful, controlled, and production-ready.…

Zustand: New. In English.

Zustand: As New. Unread book in perfect condition.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Building research grade multi-agent systems usually involves a broad variety of software infrastructure ingredients like planning, scheduling, coordination, communication, transport, simulation, and module integration technologies and as such constitutes a great challenge to the individual researcher active in the area.The book presents a collection of papers on approaches that will help make deployed and large scale multi-agent systems a reality. The first part focuses on available infrastructure and requirements for constructing research-grade agents and multi-agent systems. The second part deals with support in infrastructure and software development methods for multi-agent systems that can directly support coordination and management of large multi-agent communities; performance analysis and scalability techniques are needed to promote deployment of multi-agent systems to professionals in software engineering and information technology.…