Publisher: 24

1161
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EBOOK

Agentic AI for Offensive Cybersecurity. Build and automate smarter penetration testing workflows using AI-driven agents

Orhan Yildirim

AI agents have moved from demos to practical tooling, especially for offensive security work where repeatability and context matter. This book shows you how to apply agentic AI to real penetration testing automation, keeping a human in the loop while speeding up reconnaissance, validation, and reporting.You’ll build end-to-end workflows with n8n for reconnaissance automation, attack surface management, and repeatable testing tasks such as port scanning and PCI segmentation testing. You’ll also create browser-based security testing tools using the Model Context Protocol (MCP), enabling LLM-powered agents to coordinate tooling, manage context, and assist with vulnerability analysis and documentation. The focus is hands-on practice, as you’ll assemble practical offensive workflows for web application testing, exploitation support, and professional pentest reporting, then extend your pipeline with threat intelligence automation, including agents that monitor CVE feeds and keep your testing aligned with emerging risk.If you’re a penetration tester, red teamer, or security engineer looking to make assessments faster, more consistent, and easier to scale across engagements, this book gives you patterns that you can adapt to your environment.

1162
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EBOOK

Agentic AI for Platform Engineering. Rethinking developer platforms with agentic AI, RAG, MCP, and governed autonomous operations

Tiago Miguel Reichert, Lucas Soriano Alves Duarte,...

Platform engineers today face a growing challenge: developer platforms must scale faster than teams can maintain them. This book shows how to embed GenAI, RAG, MCP, and governed agents into developer platforms while preserving delivery and governance practices.The book moves from platform engineering and AIOps foundations to organizational knowledge, conversational interfaces, and agentic operations. Along the way, it places Claude Code, Kiro, and Codex CLI within this evolution, showing how these tools connect to the shift toward governed agents across platforms and organizations. You will build RAG pipelines, connect platform capabilities through MCP, and explore natural-language generation of Terraform and Kubernetes artifacts alongside CI/CD use cases. Hands-on chapters use Backstage, GitOps, Argo CD, Strands, and Langfuse to demonstrate assistants, governed pull-request changes, observability, audit trails, and operational agents.You will also learn when single- or multi-agent designs are appropriate, evaluate build-versus-buy choices, and address prompt injection, memory poisoning, identity abuse, and compliance. By the end, you will be able to design AI-enhanced developer platforms that improve self-service while keeping high-impact actions observable, auditable, and subject to human approval where risk demands it.

1163
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EBOOK

Agentic AI with Microsoft Foundry. Design and develop intelligent AI solutions and autonomous agents with Microsoft's Agent Framework

Balamurugan Balakreshnan, Sina Fakhraee, Jay Padhya, Minsoo...

Agentic AI with Microsoft Foundry is your complete guide to creating intelligent, enterprise-ready AI copilots and agents using Microsoft’s unified AI development platform. Whether you’re building with GPT models, integrating private data, or orchestrating multi-agent workflows, this book equips you with the technical foundation and practical skills to succeed.You’ll begin by mastering Microsoft Foundry essentials, including setting up your workspace, exploring the Model Catalog, and applying prompt engineering techniques for high-quality LLM outputs. You’ll then fine-tune large language models, implement retrieval-augmented generation (RAG), and integrate cognitive search capabilities to give your AI real-world context.The second half of the book dives deep into building and extending AI agents using the Agent Framework, covering everything from configuring tools and connectors to orchestrating multi-agent systems capable of reasoning, retrieving, and acting autonomously. You’ll also learn how to evaluate and govern your AI responsibly, monitor deployments effectively, and scale solutions for enterprise use.By the end, you’ll have built a production-ready AI copilot that leverages Microsoft Foundry, OpenAI models, and Microsoft’s Agent Framework, bringing together intelligence, automation, and ethical AI design.

1164
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EBOOK

Agentic Architectural Patterns for Building Multi-Agent Systems. Proven design patterns and practices for GenAI, agents, RAG, LLMOps, and enterprise-scale AI systems

Dr. Ali Arsanjani, Juan Pablo Bustos, Thomas...

Generative AI has moved beyond the hype, and enterprises now face the challenge of turning prototypes into scalable solutions. This book is your guide to building intelligent agents powered by LLMs.Starting with a GenAI maturity model, you’ll learn how to assess your organization’s readiness and create a roadmap toward agentic AI adoption. You’ll master foundational topics such as model selection and LLM deployment, progressing to advanced methods such as RAG, fine-tuning, in-context learning, and LLMOps, especially in the context of agentic AI. You'll explore a rich library of agentic AI design patterns to address coordination, explainability, fault tolerance, and human-agent interaction. This book introduces a concrete, hierarchical multi-agent architecture where high-level orchestrator agents manage complex business workflows by delegating entire sub-processes to specialized agents. You’ll see how these agents collaborate and communicate using the Agent-to-Agent (A2A) protocol.To ensure your systems are production-ready, we provide a practical framework for observability using life cycle callbacks, giving you the granular traceability needed for debugging, compliance, and cost management. Each pattern is backed by real-world scenarios and code examples using the open source Agent Development Kit (ADK).*Email sign-up and proof of purchase required

1165
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EBOOK

Agentic Coding with Claude Code. The everyday developer's guide to agentic coding with Claude Code

Eden Marco

Most developers encounter Claude Code through chat-style prompting, but that approach breaks down as projects grow and automation must be safe, repeatable, and controlled. Agentic Coding with Claude Code shows how to move beyond ad hoc prompts and use Claude Code as an extensible, agent-driven development platform.This book focuses on building context-aware AI workflows directly in your terminal and IDE. You will learn how to control Claude Code using slash commands, manage long-term context with persistent memory files, and automate development tasks using hooks that trigger actions across Claude Code's lifecycle.The book also covers the Model Context Protocol (MCP) as an important part of the modern agentic ecosystem. You will understand why MCP exists, explore its core architecture, and configure MCP servers inside Claude Code to improve context sharing across tools, agents, and workflows. The trade-offs between MCP, skills, and subagents are discussed to help you choose the right approach.You will design and orchestrate multi-agent systems using subagents, parallel sessions, and hierarchical delegation. By the end of the book, you will be able to integrate Claude Code into real-world development workflows with confidence and control.*Email sign-up and proof of purchase required

1166
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EBOOK

Agentic Coding with OpenAI Codex CLI. Build intelligent agent workflows using Agentic Engineering, MCP, hooks, and delivery automation

Daniel Vaughan

Agentic Coding with OpenAI Codex CLI is a comprehensive guide to agentic AI development with OpenAI's command-line coding agent. Across six parts, you'll move from first principles to production workflows and team-scale practice: prompting and AGENTS.md configuration, approval modes and kernel-level sandboxing, model selection, context and cost management, MCP servers, hooks, skills, sub-agents and orchestration, worktrees, CI/CD integration, security hardening, and enterprise deployment.Later chapters cover debugging and testing agentic workflows, AI code review, practical engineering guides (codebase migration, backend, frontend, and infrastructure as code), and the bigger picture: benchmarks, competing tools, harness engineering, and how to structure an agentic engineering team.Whether you're a solo developer looking to multiply your output or an engineering lead rolling out agentic workflows across a team, this book gives you the mental models and practical techniques to work effectively with AI coding agents.It draws on real-world experience and community insights, and every chapter includes learning objectives, worked examples, and hands-on exercises.

1167
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EBOOK

Agentic DevOps with Claude Code. Build governed AI platforms on Kubernetes with GitOps, observability, and self-service workflows

Michael Rishi Forrester

Build agentic DevOps workflows without bypassing the controls your Kubernetes platform already depends on. This book shows you how to use Claude as a controlled platform-engineering worker while introducing agents, model serving, and developer self-service through reproducible GitOps workflows, explicit trust boundaries, policy checks, and testable completion gates.You’ll establish a cloud-native foundation with Argo CD, cert-manager, OpenBao, External Secrets Operator, Kyverno, Prometheus, Grafana, Loki, Tempo, and OpenTelemetry. You’ll then add governed AI traffic using Gateway API, kgateway, agentgateway, kagent, MCP tools, and LLM Guard before serving an OpenAI-compatible model with KServe and vLLM.The hands-on approach shows you how to constrain Claude with specifications, permissions, audit hooks, tests, and Git checkpoints. You’ll trace agent and model activity, diagnose failures from evidence, and turn operational fixes into reusable tests. You’ll also build a Backstage template and Argo CD ApplicationSet that provide a governed path from developer request to running agent.By the end of the book, you’ll be able to build and validate an AI-native internal developer platform in phases, route agent and model activity through existing platform controls, and prepare the architecture for production use.

1168
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AUDIOBOOK

Agentka

Alan Hlad

Zainspirowana prawdziwymi wydarzeniami historia bohaterskich szpiegów! Rok 1942, kiedy wynik wojny wisi na włosku, prezydent Roosevelt wysyła nieprawdopodobną grupę zadaniową z wyjątkową misją. Bibliotekarze wyszkoleni w szpiegostwie i specjaliści od mikrofilmów, współpracujący ze specjalnym oddziałem Służb, zostają rozlokowani po całej Europie. Pozyskując i przeglądając gazety, książki i podręczniki techniczne, zbierają informacje o rozmieszczeniu wojsk i uzbrojeniu. Maria Alves zostaje wysłana do Lizbony, gdzie skrupulatnie fotografuje publikacje. Współpracuje z Tiago - portugalskim właścicielem księgarni, który wykonuje własną, niepewną misję, pomagając żydowskim uchodźcom. Gdy Maria i Tiago zbliżają się do siebie, ich wspólna przyszłość jest zagrożona. Kobieta dostaje bowiem nowe zadanie, które zaprowadzi ją w samo serce wewnętrznego kręgu sympatyków Fuhrera! Amerykańska bibliotekarka i portugalski handlarz książek; misja, która może odmienić losy wojny.