Patel, Advait: Implementing Security with AI in GCP

Implementing Security with AI in GCP is a detailed guide ed 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 ing secure and resilient cloud environments.  Part 2  moves into real-world 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.