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Implementing Security with AI in GCP: Practical Strategies, Tools, and Emerging Trends

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  • Дата: 22-02-2026, 05:44
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Название: Implementing Security with AI in GCP: Practical Strategies, Tools, and Emerging Trends
Автор: Advait Patel
Издательство: Apress
Год: 2026
Страниц: 276
Язык: английский
Формат: True PDF, True EPUB
Размер: 14.0 MB

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.

Artificial Intelligence (AI) is rapidly transforming the way we approach cloud security. With the scale, complexity, and speed at which threats evolve today, traditional approaches are no longer enough. Google Cloud Platform (GCP), with its breadth of services and enterprise adoption, provides a rich proving ground for applying AI to strengthen defenses, automate responses, and enhance governance. AI is not a silver bullet, but when combined with sound security practices, it becomes a powerful ally in defending against advanced threats. This book is designed to give you the knowledge, confidence, and tools to take advantage of AI while maintaining practical, enterprise-ready security strategies on GCP.

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.

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