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.
