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Implementing security with AI in GCP...

Patel, Advait.

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Implementing security with AI in GCP = practical strategies, tools, and emerging trends /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Implementing security with AI in GCP/ by Advait Patel.
Reminder of title:	practical strategies, tools, and emerging trends /
Author:	Patel, Advait.
Published:	Berkeley, CA :Apress : : 2025.,
Description:	xxi, 270 p. :ill. (some col.), digital ;24 cm.
[NT 15003449]:	Part I: Advanced Foundations of GCP Security -- Chapter 1: Advanced Security Concepts and the Shared Responsibility Model -- Chapter 2: Securing GCP Infrastructure- Beyond Basics -- Chapter 3: Advanced Identity and Access Management Strategies -- Chapter 4: Advanced Data Protection and Encryption -- Chapter 5: Exploring Advanced GCP Security Services -- Part II: Architecting and Deploying Secure GCP Environments -- Chapter 6: Designing Enterprise-Grade Microservices Security -- Chapter 7: Securing Advanced Serverless Deployments -- Chapter 8: Advanced Multi-Tenancy and Data Isolation Strategies -- Chapter 9. Infrastructure as Code (IaC) for Advanced Security Automation -- Part III: Monitoring Automation and Continuous Improvement -- Chapter 10. Advanced Threat Detection and Response with AI -- Chapter 11. Continuous Compliance and Governance -- Chapter 12. Securing CI/CD Pipelines with DevSecOps -- Chapter 13. Adapting to the Evolving Threat Landscape.
Contained By:	Springer Nature eBook
Subject:	Computer security. -
Online resource:	https://doi.org/10.1007/979-8-8688-2213-1
ISBN:	9798868822131

Implementing security with AI in GCP = practical strategies, tools, and emerging trends /
Patel, Advait.

Implementing security with AI in GCPpractical strategies, tools, and emerging trends /[electronic resource] :by Advait Patel. - Berkeley, CA :Apress :2025. - xxi, 270 p. :ill. (some col.), digital ;24 cm.

Part I: Advanced Foundations of GCP Security -- Chapter 1: Advanced Security Concepts and the Shared Responsibility Model -- Chapter 2: Securing GCP Infrastructure- Beyond Basics -- Chapter 3: Advanced Identity and Access Management Strategies -- Chapter 4: Advanced Data Protection and Encryption -- Chapter 5: Exploring Advanced GCP Security Services -- Part II: Architecting and Deploying Secure GCP Environments -- Chapter 6: Designing Enterprise-Grade Microservices Security -- Chapter 7: Securing Advanced Serverless Deployments -- Chapter 8: Advanced Multi-Tenancy and Data Isolation Strategies -- Chapter 9. Infrastructure as Code (IaC) for Advanced Security Automation -- Part III: Monitoring Automation and Continuous Improvement -- Chapter 10. Advanced Threat Detection and Response with AI -- Chapter 11. Continuous Compliance and Governance -- Chapter 12. Securing CI/CD Pipelines with DevSecOps -- Chapter 13. Adapting to the Evolving Threat Landscape.

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.

ISBN: 9798868822131

Standard No.: 10.1007/979-8-8688-2213-1doiSubjects--Corporate Names:

595722
Google (Firm)
Subjects--Uniform Titles:

Google.
Subjects--Topical Terms:

540555
Computer security.

LC Class. No.: QA76.9.A25

Dewey Class. No.: 005.8

Implementing security with AI in GCP = practical strategies, tools, and emerging trends /
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520 $a 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.
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