The Automation Stack (16 results)
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Published by Independently Published, 2025
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Seller: Rarewaves.com USA, London, LONDO, United KingdomRarewaves.com USA
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Published by Amazon Digital Services LLC - Kdp, 2025
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Seller: PBShop.store US, Wood Dale, IL, U.S.A.PBShop.store US
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Published by Amazon Digital Services LLC - Kdp, 2025
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Seller: PBShop.store US, Wood Dale, IL, U.S.A.PBShop.store US
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Published by Amazon Digital Services LLC - Kdp, 2025
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PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.
Language: English
Published by Amazon Digital Services LLC - Kdp, 2025
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Seller: PBShop.store UK, Fairford, GLOS, United KingdomPBShop.store UK
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Published by Amazon Digital Services LLC - Kdp, 2025
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Seller: PBShop.store US, Wood Dale, IL, U.S.A.PBShop.store US
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PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.
Language: English
Published by Amazon Digital Services LLC - Kdp, 2025
- Softcover
Seller: PBShop.store UK, Fairford, GLOS, United KingdomPBShop.store UK
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Language: English
Published by Independently published, 2025
- Softcover
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Seller: California Books, Miami, FL, U.S.A.California Books
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Language: English
Published by Independently published, 2025
- Softcover
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Seller: California Books, Miami, FL, U.S.A.California Books
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More imagesLanguage: English
Published by Independently Published, 2025
- Softcover
Seller: Rarewaves.com UK, London, United KingdomRarewaves.com UK
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Paperback. Condition: New.
Language: English
Published by Independently Published, 2025
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Seller: Grand Eagle Retail, Bensenville, IL, U.S.A.Grand Eagle Retail
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Paperback. Condition: new. Paperback. n8n Automation for AI Agents: The Developer's Definitive Guide to Intelligent Workflow OrchestrationCore Promise"n8n Automation for AI Agents" shows you exactly how to build end-to-end automations with n8n-no fluff, just hands-on guidance. You'll move from simple data captures to sophisticat…ed multi-agent orchestration, integrating large language models, vector databases, and real-world action patterns.Key Learnings & BenefitsPerception Patterns: Master polling APIs, email ingestion, and file-drop triggers (Chapter 3) to feed your agents fresh, structured data.LLM Orchestration: Implement chain-of-thought workflows, Retrieval-Augmented Generation with Pinecone or Weaviate, and context caching via Redis and Postgres (Chapter 4).Action Patterns: Automate CRM updates, ticket creation, and cloud-infra control with Salesforce, Zendesk, AWS, and Kubernetes nodes (Chapters 5 & 5.3).Resilience & Observability: Build error-handling workflows, retry strategies, and Prometheus-backed monitoring with Grafana dashboards for production reliability (Chapters 7 & 10).CI/CD & Security: Integrate GitHub Actions, Terraform, and canary deployments for seamless updates, plus encrypted credentials, RBAC, and compliance best practices (Chapters 9 & 11).Real-World Recipes: Apply proven case studies-from AI-powered support agents to supply-chain optimization and multi-agent chat orchestration-to solve actual business challenges (Chapter 12).Each chapter delivers ready-to-import n8n workflows and clear explanations so you can extend, customize, and deploy immediately.Get your copy of "n8n Automation for AI Agents" now and start building intelligent workflows that elevate your development game! This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Language: English
Published by Independently Published, 2025
- Softcover
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Seller: Grand Eagle Retail, Bensenville, IL, U.S.A.Grand Eagle Retail
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Paperback. Condition: new. Paperback. Building scalable red-teaming systems isn't just about generating adversarial prompts-it's about orchestrating a network of intelligent agents that work together securely, efficiently, and at scale. This book shows you how to do exactly that.Whether you're a security engineer probing LLM beh…avior or a platform architect tasked with automating adversarial testing pipelines, this hands-on guide will walk you through the process of designing, deploying, and scaling a multi-agent red-teaming platform. It's built on real-world implementations using containerized microservices, policy-as-code engines, and cloud-native orchestration.You'll learn how to assign and manage agent roles-adversary, observer, guardian-then connect them via reliable messaging patterns. The book covers policy enforcement, test scheduling, response validation, and continuous improvement pipelines. From fault-tolerant execution and secure communications to canary rollouts and self-optimization, every chapter offers immediately usable examples with working code, configuration templates, and architectural diagrams.What's inside this book?Design patterns for distributed multi-agent red-teaming using open-source toolsRealistic deployment models with Helm, Kubernetes, service mesh, and GitOpsPolicy management strategies using OPA, JSON Schema, and structured logsComplete CI/CD templates for red-team test automationPractical code examples, metrics collection, and rollback safety techniquesIf you're building, improving, or maintaining an AI security pipeline, this book belongs on your desk. Get your copy now and start scaling red-team capabilities with confidence. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Language: English
Published by Independently Published, 2025
- Softcover
- Print on Demand
Seller: Grand Eagle Retail, Bensenville, IL, U.S.A.Grand Eagle Retail
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Paperback. Condition: new. Paperback. Mastering Multi-Agent AI Red Teaming: The Essential Guide to Secure Agentic SystemsMastering Multi-Agent AI Red Teaming offers a hands-on blueprint for building resilient red- and blue-agent frameworks that secure your AI applications from prompt injections, data poisoning, and context attac…ks. You'll discover proven strategies-from orchestrating RabbitMQ-driven message buses to automating adversarial scans with DeepTeam-and learn how to integrate these capabilities directly into your DevSecOps pipelines.Inside, you'll learn how to: Architect multi-agent workflows using Kubernetes, Terraform, and cloud-native autoscalingCraft modular Mutators, Judges, and DataCollectors that slot into a plugin-driven platformDefine threat models, execute attack vectors at scale, and evaluate AI-specific vulnerabilitiesImplement detection, anomaly response, and feedback loops with Prometheus, ELK, and Slack integrationsEmbed red-teaming checks into GitHub Actions and run continuous post-deploy evaluations via Kubernetes CronJobsLeverage advanced techniques like federated learning for distributed threat intelligence and chain-of-thought countermeasuresAutomate risk scoring and LLM-powered patch synthesis to remediate vulnerabilities in minutesWhether you're a security engineer aiming to protect enterprise LLM deployments or a developer eager to bolster your AI pipeline's defenses, this guide delivers the practical code examples, configuration recipes, and operational insights you need.Take command of your AI security posture today-equip your team with the skills to design, deploy, and scale multi-agent red-teaming platforms that adapt to emerging threats. Purchase Mastering Multi-Agent AI Red Teaming now and transform your approach to AI application security. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Language: English
Published by Independently Published, 2025
- Softcover
- Print on Demand
Seller: CitiRetail, Stevenage, United KingdomCitiRetail
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£ 20.99
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Paperback. Condition: new. Paperback. n8n Automation for AI Agents: The Developer's Definitive Guide to Intelligent Workflow OrchestrationCore Promise"n8n Automation for AI Agents" shows you exactly how to build end-to-end automations with n8n-no fluff, just hands-on guidance. You'll move from simple data captures to sophisticat…ed multi-agent orchestration, integrating large language models, vector databases, and real-world action patterns.Key Learnings & BenefitsPerception Patterns: Master polling APIs, email ingestion, and file-drop triggers (Chapter 3) to feed your agents fresh, structured data.LLM Orchestration: Implement chain-of-thought workflows, Retrieval-Augmented Generation with Pinecone or Weaviate, and context caching via Redis and Postgres (Chapter 4).Action Patterns: Automate CRM updates, ticket creation, and cloud-infra control with Salesforce, Zendesk, AWS, and Kubernetes nodes (Chapters 5 & 5.3).Resilience & Observability: Build error-handling workflows, retry strategies, and Prometheus-backed monitoring with Grafana dashboards for production reliability (Chapters 7 & 10).CI/CD & Security: Integrate GitHub Actions, Terraform, and canary deployments for seamless updates, plus encrypted credentials, RBAC, and compliance best practices (Chapters 9 & 11).Real-World Recipes: Apply proven case studies-from AI-powered support agents to supply-chain optimization and multi-agent chat orchestration-to solve actual business challenges (Chapter 12).Each chapter delivers ready-to-import n8n workflows and clear explanations so you can extend, customize, and deploy immediately.Get your copy of "n8n Automation for AI Agents" now and start building intelligent workflows that elevate your development game! This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Language: English
Published by Independently Published, 2025
- Softcover
- Print on Demand
Seller: CitiRetail, Stevenage, United KingdomCitiRetail
Contact seller5-star sellerCondition: New
£ 20.99
£ 37.00 shippingShips from United Kingdom to U.S.A.Quantity: 1 available
Paperback. Condition: new. Paperback. Building scalable red-teaming systems isn't just about generating adversarial prompts-it's about orchestrating a network of intelligent agents that work together securely, efficiently, and at scale. This book shows you how to do exactly that.Whether you're a security engineer probing LLM beh…avior or a platform architect tasked with automating adversarial testing pipelines, this hands-on guide will walk you through the process of designing, deploying, and scaling a multi-agent red-teaming platform. It's built on real-world implementations using containerized microservices, policy-as-code engines, and cloud-native orchestration.You'll learn how to assign and manage agent roles-adversary, observer, guardian-then connect them via reliable messaging patterns. The book covers policy enforcement, test scheduling, response validation, and continuous improvement pipelines. From fault-tolerant execution and secure communications to canary rollouts and self-optimization, every chapter offers immediately usable examples with working code, configuration templates, and architectural diagrams.What's inside this book?Design patterns for distributed multi-agent red-teaming using open-source toolsRealistic deployment models with Helm, Kubernetes, service mesh, and GitOpsPolicy management strategies using OPA, JSON Schema, and structured logsComplete CI/CD templates for red-team test automationPractical code examples, metrics collection, and rollback safety techniquesIf you're building, improving, or maintaining an AI security pipeline, this book belongs on your desk. Get your copy now and start scaling red-team capabilities with confidence. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Language: English
Published by Independently Published, 2025
- Softcover
- Print on Demand
Seller: CitiRetail, Stevenage, United KingdomCitiRetail
Contact seller5-star sellerCondition: New
£ 24.49
£ 37.00 shippingShips from United Kingdom to U.S.A.Quantity: 1 available
Paperback. Condition: new. Paperback. Mastering Multi-Agent AI Red Teaming: The Essential Guide to Secure Agentic SystemsMastering Multi-Agent AI Red Teaming offers a hands-on blueprint for building resilient red- and blue-agent frameworks that secure your AI applications from prompt injections, data poisoning, and context attac…ks. You'll discover proven strategies-from orchestrating RabbitMQ-driven message buses to automating adversarial scans with DeepTeam-and learn how to integrate these capabilities directly into your DevSecOps pipelines.Inside, you'll learn how to: Architect multi-agent workflows using Kubernetes, Terraform, and cloud-native autoscalingCraft modular Mutators, Judges, and DataCollectors that slot into a plugin-driven platformDefine threat models, execute attack vectors at scale, and evaluate AI-specific vulnerabilitiesImplement detection, anomaly response, and feedback loops with Prometheus, ELK, and Slack integrationsEmbed red-teaming checks into GitHub Actions and run continuous post-deploy evaluations via Kubernetes CronJobsLeverage advanced techniques like federated learning for distributed threat intelligence and chain-of-thought countermeasuresAutomate risk scoring and LLM-powered patch synthesis to remediate vulnerabilities in minutesWhether you're a security engineer aiming to protect enterprise LLM deployments or a developer eager to bolster your AI pipeline's defenses, this guide delivers the practical code examples, configuration recipes, and operational insights you need.Take command of your AI security posture today-equip your team with the skills to design, deploy, and scale multi-agent red-teaming platforms that adapt to emerging threats. Purchase Mastering Multi-Agent AI Red Teaming now and transform your approach to AI application security. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
