國立高雄大學圖資館 |

Language: English

Back

Implementing security with AI in GCP...

Google (Firm)

Implementing security with AI in GCPpractical strategies, tools, and emerging trends /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Implementing security with AI in GCPby 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.
Contained By:	Springer Nature eBook
Subject:	Computer security.
Online resource:	https://doi.org/10.1007/979-8-8688-2213-1
ISBN:	9798868822131$q(electronic bk.)

Implementing security with AI in GCPpractical 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$q(electronic bk.)

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

239168
Google (Firm)
Subjects--Uniform Titles:

Google.
Subjects--Topical Terms:

184416
Computer security.

LC Class. No.: QA76.9.A25

Dewey Class. No.: 005.8

Implementing security with AI in GCPpractical strategies, tools, and emerging trends /
LDR:03453nmm a2200325 a 4500 001 692066
003 DE-He213
005 20260102123015.0
006 m d
007 cr nn 008maaau
008 260527s2025 cau s 0 eng d
020 $a 9798868822131$q(electronic bk.)
020 $a 9798868822124$q(paper)
024 7 $a 10.1007/979-8-8688-2213-1 $2 doi
035 $a 979-8-8688-2213-1
040 $a GP $c GP
041 0 $a eng
050 4 $a QA76.9.A25
072 7 $a UTC $2 bicssc
072 7 $a COM091000 $2 bisacsh
072 7 $a UTC $2 thema
082 0 4 $a 005.8 $2 23
090 $a QA76.9.A25 $b P295 2025
100 1 $a Patel, Advait. $3 1000252
245 1 0 $a Implementing security with AI in GCP $h [electronic resource] : $b practical strategies, tools, and emerging trends / $c by Advait Patel.
260 $a Berkeley, CA : $b Apress : $b Imprint: Apress, $c 2025.
300 $a xxi, 270 p. : $b ill. (some col.), digital ; $c 24 cm.
505 0 $a 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.
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.
610 2 0 $a Google (Firm) $3 239168
630 0 0 $a Google. $3 238172
650 0 $a Computer security. $3 184416
650 0 $a Computer networks $x Security measures. $3 185597
650 1 4 $a Cloud Computing. $3 777671
650 2 4 $a Artificial Intelligence. $3 212515
650 2 4 $a Principles and Models of Security. $3 837243
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer Nature eBook
856 4 0 $u https://doi.org/10.1007/979-8-8688-2213-1
950 $a Professional and Applied Computing (SpringerNature-12059)