{"product_id":"security-for-ai-systems-in-gcp-unified-security-threat-detection-ai-workloads-9798270312374","title":"Security for AI Systems in GCP: Unified Security, Threat Detection \u0026 AI Workloads","description":"\u003cp\u003e • Author(s): Michael S. Wilson\u003cbr\u003e • Publisher: Independently Published\u003cbr\u003e • Publisher Imprint: Independently Published\u003cbr\u003e • BISAC: Security - Network Security\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eArtificial intelligence and cloud computing are redefining modern enterprises-but they also redefine the threat landscape. As AI models process sensitive data and power autonomous decisions, the need for \u003cb\u003eAI security\u003c\/b\u003e, \u003cb\u003ecloud compliance\u003c\/b\u003e, and \u003cb\u003ecyber resilience\u003c\/b\u003e has never been greater. Google Cloud Platform (GCP) sits at the heart of this transformation, offering scalable infrastructure for \u003cb\u003emachine learning\u003c\/b\u003e, \u003cb\u003edata science\u003c\/b\u003e, and \u003cb\u003eenterprise automation\u003c\/b\u003e. This book explores how to build \u003cb\u003esecure AI systems\u003c\/b\u003e in GCP-where innovation meets protection, and intelligence operates safely within zero-trust architectures.\u003c\/p\u003e\u003cp\u003eWritten with deep professional insight into cloud architecture, \u003cb\u003ecybersecurity engineering\u003c\/b\u003e, and \u003cb\u003eAI governance\u003c\/b\u003e, this book delivers authoritative, real-world knowledge grounded in industry best practices. Drawing on Google Cloud's native tools, NIST AI Risk frameworks, and modern \u003cb\u003eMLOps security\u003c\/b\u003e strategies, it combines clarity with credibility-making complex topics accessible without oversimplification.\u003c\/p\u003e\u003cp\u003e\u003ci\u003eSecurity for AI Systems in GCP\u003c\/i\u003e is a comprehensive guide that bridges \u003cb\u003eartificial intelligence\u003c\/b\u003e, \u003cb\u003ecloud security\u003c\/b\u003e, and \u003cb\u003eresponsible AI governance\u003c\/b\u003e. Readers will master the principles of \u003cb\u003esecure data pipelines\u003c\/b\u003e, \u003cb\u003ethreat detection\u003c\/b\u003e, \u003cb\u003emodel protection\u003c\/b\u003e, and \u003cb\u003eregulatory compliance\u003c\/b\u003e while exploring cutting-edge trends such as \u003cb\u003econfidential computing\u003c\/b\u003e, \u003cb\u003efederated learning\u003c\/b\u003e, and \u003cb\u003eAI risk assessment frameworks\u003c\/b\u003e. From designing reference security blueprints to implementing \u003cb\u003esecurity-first MLOps pipelines\u003c\/b\u003e, this book delivers the knowledge required to build, scale, and defend AI systems confidently in the cloud.\u003c\/p\u003e\u003cbr\u003e\u003cb\u003eWhat's Inside\u003c\/b\u003e\u003cul\u003e\n\u003cli\u003e\u003cp\u003e\u003cb\u003eSecure Architecture Blueprints: \u003c\/b\u003e Learn how to design and deploy AI workloads using GCP's security stack-VPC Service Controls, IAM, Cloud Armor, and BeyondCorp Enterprise.\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003e\u003cb\u003eAI Risk \u0026amp; Compliance: \u003c\/b\u003e Explore GDPR, the EU AI Act, and NIST frameworks for managing bias, privacy, and fairness.\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003e\u003cb\u003eGovernance \u0026amp; Ethics: \u003c\/b\u003e Implement AI governance models, ethical oversight committees, and responsible MLOps strategies.\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003e\u003cb\u003eThreat Detection \u0026amp; Response: \u003c\/b\u003e Use Chronicle SIEM, Vertex AI, and Autonomic Security Operations for intelligent defense.\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003e\u003cb\u003eScaling Secure AI: \u003c\/b\u003e Discover best practices for federated learning, multi-region compliance, and automated policy enforcement.\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003e\u003cb\u003eFuture-Proofing: \u003c\/b\u003e Prepare for quantum-safe encryption, AI-powered defense automation, and the next generation of AI threats.\u003c\/p\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003eIdeal for \u003cb\u003ecloud architects\u003c\/b\u003e, \u003cb\u003edata scientists\u003c\/b\u003e, \u003cb\u003eAI engineers\u003c\/b\u003e, \u003cb\u003eDevSecOps professionals\u003c\/b\u003e, and \u003cb\u003etechnology leaders\u003c\/b\u003e, this book empowers anyone working at the intersection of AI and cybersecurity. Students and early-career professionals will gain the confidence to navigate GCP securely, while seasoned experts will discover frameworks for scaling compliance and governance in enterprise AI environments. Whether you're advancing your \u003cb\u003eAI security career\u003c\/b\u003e or leading a \u003cb\u003edigital transformation\u003c\/b\u003e initiative, this guide meets you where you are-and takes you further.\u003c\/p\u003e\u003cp\u003eAI is evolving faster than regulation. Cyberattacks targeting \u003cb\u003emachine learning models\u003c\/b\u003e, \u003cb\u003esupply chains\u003c\/b\u003e, and \u003cb\u003ecloud APIs\u003c\/b\u003e are escalating across industries. Waiting to secure your AI systems means falling behind both technologically and defensively. The window to establish \u003cb\u003etrustworthy, compliant, and resilient AI infrastructure\u003c\/b\u003e is now. Learning to embed security within GCP's AI ecosystem ensures not just survival in the digital age-but leadership in it.\u003c\/p\u003e","brand":"Atlantic Books","offers":[{"title":"Paperback","offer_id":46331904360599,"sku":"9798270312374","price":2312.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9798270312374.webp?v=1768724665","url":"https:\/\/atlanticbooks.com\/products\/security-for-ai-systems-in-gcp-unified-security-threat-detection-ai-workloads-9798270312374","provider":"Atlantic Books","version":"1.0","type":"link"}