商品描述
Implementing Security with AI in GCP is a detailed guide designed to help professionals harness the power of artificial intelligence within Google Cloud Platform (GCP) to strengthen cloud security. Tailored for security practitioners, it offers a thorough exploration of GCP's security principles, AI-driven tools, and their practical applications. The book is organized into
three parts that progressively build advanced expertise in Google Cloud security.
Part 1 lays the foundation by exploring GCP's advanced security architecture, identity and access management, data protection, and key security services. It blends conceptual depth with hands-on exercises, ensuring readers master the essentials of designing secure and resilient cloud environments.
Part 2 moves into real-world design and deployment, focusing on securing microservices, serverless applications, multi-tenant architectures, and infrastructure-as-code automation. Through practical labs and visual walkthroughs, readers learn to implement enterprise-grade security patterns.
Part 3 emphasizes continuous improvement--covering AI-powered threat detection, compliance automation, DevSecOps integration, and strategies for adapting to evolving threats. By combining theoretical principles, practical insights, and real-world case studies,
Mastering GCP Security for Advanced Users provides a complete roadmap to architect, automate, and sustain secure environments in Google Cloud. Who this book is for: This book is for cloud security engineers, architects, and administrators who want to use AI to strengthen security in GCP. Basic knowledge of GCP infrastructure and services will help in understanding the concepts covered.
商品描述(中文翻譯)
《在 GCP 中實施 AI 安全性》是一本詳細的指南，旨在幫助專業人士利用人工智慧的力量來加強 Google Cloud Platform (GCP) 的雲端安全性。這本書專為安全實務者量身打造，深入探討 GCP 的安全原則、AI 驅動的工具及其實際應用。
本書分為三個部分，逐步建立 Google Cloud 安全性的高級專業知識。第一部分通過探索 GCP 的先進安全架構、身份與存取管理、數據保護及關鍵安全服務來奠定基礎。它將概念深度與實作練習相結合，確保讀者掌握設計安全且具韌性的雲端環境的基本要素。第二部分進入實際的設計與部署，專注於保護微服務、無伺服器應用、多租戶架構及基礎設施即代碼的自動化。透過實用的實驗室和視覺化的步驟說明，讀者學會實施企業級的安全模式。第三部分強調持續改進，涵蓋 AI 驅動的威脅檢測、合規性自動化、DevSecOps 整合及應對不斷演變的威脅的策略。
通過結合理論原則、實用見解和真實案例研究，《掌握 GCP 安全性：進階用戶指南》提供了一條完整的路線圖，以設計、自動化和維護 Google Cloud 中的安全環境。
本書適合對象：
本書適合希望利用 AI 加強 GCP 安全性的雲端安全工程師、架構師和管理員。對 GCP 基礎設施和服務的基本知識將有助於理解所涵蓋的概念。
作者簡介
Advait Patel is a Senior Site Reliability Engineer at Broadcom, specializing in the design and management of globally distributed SaaS-based observability and analytics platforms. His expertise spans cloud computing, Kubernetes, Terraform, Ansible, Python, AWS, GCP, and Linux, with a focus on building secure, scalable, and compliant enterprise systems. Advait holds a Master's degree in Computer Science from DePaul University, where he specialized in Software Engineering and Cloud Computing. Over his career, he has led multiple initiatives in vulnerability management, compliance frameworks, and disaster recovery automation for large-scale production environments. He currently serves as the Conference Chair for the IEEE Chicago Section and Large Section Support Chair for IEEE Region 4, where he helps advance professional education and technical collaboration across engineering communities. He is also recognized as a Docker Captain, an honor reserved for global community leaders who advocate and innovate in the field of containerization and DevSecOps. In addition to his engineering leadership, Advait is an active researcher, author, and speaker in cloud security, Zero Trust architectures, AI-driven automation, and compliance engineering. His work has been featured across leading publications such as Springer Nature, Apress, IEEE, DevOps.com, Cloud Native Now, HackerNoon, and Security Boulevard. He has presented his research at prestigious conferences and was invited to speak at the DataWeek, SANS CloudSecNext, OWASP Global AppSec, Blue Team Con, CornCon, Open Cloud Security Conference, and IEEE Cloud Summit, and continues to contribute to the academic and professional community through authorship, technical reviewing, and mentorship. His mission is to bridge the gap between academic innovation and real-world engineering practice, fostering a culture of security, reliability, and automation in modern cloud ecosystems. Advait is based in Chicago, US.
作者簡介(中文翻譯)
Advait Patel 是 Broadcom 的資深網站可靠性工程師，專注於全球分佈的基於 SaaS 的可觀察性和分析平台的設計與管理。他的專業領域涵蓋雲計算、Kubernetes、Terraform、Ansible、Python、AWS、GCP 和 Linux，重點在於構建安全、可擴展且符合規範的企業系統。
Advait 擁有德保羅大學的計算機科學碩士學位，專攻軟體工程和雲計算。在他的職業生涯中，他主導了多個大型生產環境中的漏洞管理、合規框架和災難恢復自動化的倡議。
他目前擔任 IEEE 芝加哥分會的會議主席以及 IEEE 第四區的大型分會支持主席，幫助推進工程社群中的專業教育和技術合作。他也被認可為 Docker Captain，這是一項專為在容器化和 DevSecOps 領域倡導和創新的全球社區領袖所保留的榮譽。
除了他的工程領導角色外，Advait 還是一位活躍的研究者、作者和演講者，專注於雲安全、零信任架構、AI 驅動的自動化和合規工程。他的研究成果曾在多個知名出版物上發表，如 Springer Nature、Apress、IEEE、DevOps.com、Cloud Native Now、HackerNoon 和 Security Boulevard。
他在多個知名會議上發表過研究，並受邀在 DataWeek、SANS CloudSecNext、OWASP Global AppSec、Blue Team Con、CornCon、Open Cloud Security Conference 和 IEEE Cloud Summit 等活動中演講，並通過著作、技術審查和導師指導持續為學術和專業社群做出貢獻。他的使命是縮短學術創新與現實工程實踐之間的鴻溝，促進現代雲生態系統中的安全性、可靠性和自動化文化。Advait 現居於美國芝加哥。
