Übersicht			Auf mobile öffnen

Lieferstatus:	Vorankündigung
Veröffentlichung:	ANGEKÜNDIGT (September 2026)
Genre:	EDV / Informatik
	Agent observability / Agent orchestration / Agent reliability / Agent security / AI Agents / Artificial Intelligence / Authentication and Authorization / Autonomous Systems / Computersicherheit / Controlled deployments / Enterprise AI / governed AI / machine learning / Maschinelles Lernen / MCP gateways / Model Context Protocol (MCP) / policy enforcement / Principles and Models of Security / Production-grade AI / Scalable Agent Systems mehr...
ISBN:	9783032270245
EAN-Code:	9783032270245
Verlag:	Springer International Publishing
Einband:	Gebunden
Sprache:	English
Dimensionen:	H 235 mm / B 155 mm / D
Seiten:	284
Illustration:	XX, 284 p. 3 illus., schwarz-weiss Illustrationen
Zus. Info:	EUDR exemption - product or manufacturing materials placed on the market prior to 31.12.2025.
Bewertung:	Keine Bewertung vor Veröffentlichung möglich.

Inhalt:

The book presents Model Context Protocol (MCP) as a practical control plane for governed agent execution across code-first and no-code environments. Users learn how to design structured flows, manage prompt hierarchies, enforce access boundaries, measure reliability, and integrate evaluation into deployment pipelines. With architectural patterns and implementation guidance, this book gives a blueprint for building AI agents that are predictable, auditable, secure, and production ready.   This book also explains how to build AI agents that behave reliably in real-world production environments. It covers the architecture of modern agentic systems, including planning, orchestration, tool execution, memory, validation, policy enforcement, security guardrails, controlled deployment, and observability. It also illustrates how to move beyond prompt-centric experimentation and engineer agents as dependable software systems.   Advanced-level students focused on AI and computer science will find this book useful as a secondary textbook. Professionals working in this field, including AI engineers, software architects, platform engineers, and security professionals will also find this book useful as a reference.