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

By (author) Advait Patel

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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 GCPâ€™s security principles, AI-driven tools, and their practical applications. The book is organized intoÂ three partsÂ that progressively build advanced expertise in Google Cloud security.Â Part 1Â lays the foundation by exploring GCPâ€™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.Â Part 2Â 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.Â Part 3Â emphasizes continuous improvementâ€”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,Â Mastering GCP Security for Advanced UsersÂ provides a complete roadmap to architect, automate, and sustain secure environments in Google Cloud. Â 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. Â

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