Implementing Security with AI in GCP

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.

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.