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{ "item_title" : "Mastering Multi-Agent AI Red Teaming", "item_author" : [" Cameron McLucas "], "item_description" : "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 attacks. 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.", "item_img_path" : "https://covers3.booksamillion.com/covers/bam/9/79/828/742/9798287421762_b.jpg", "price_data" : { "retail_price" : "25.00", "online_price" : "25.00", "our_price" : "25.00", "club_price" : "25.00", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Mastering Multi-Agent AI Red Teaming|Cameron McLucas

Mastering Multi-Agent AI Red Teaming : The Essential Guide to Secure Agentic Systems

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Overview

Mastering Multi-Agent AI Red Teaming: The Essential Guide to Secure Agentic Systems

Mastering 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 attacks. 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 autoscaling

  • Craft modular Mutators, Judges, and DataCollectors that slot into a plugin-driven platform

  • Define threat models, execute attack vectors at scale, and evaluate AI-specific vulnerabilities

  • Implement detection, anomaly response, and feedback loops with Prometheus, ELK, and Slack integrations

  • Embed red-teaming checks into GitHub Actions and run continuous post-deploy evaluations via Kubernetes CronJobs

  • Leverage advanced techniques like federated learning for distributed threat intelligence and chain-of-thought countermeasures

  • Automate risk scoring and LLM-powered patch synthesis to remediate vulnerabilities in minutes

Whether 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 Non-Returnable

Details

  • ISBN-13: 9798287421762
  • ISBN-10: 9798287421762
  • Publisher: Independently Published
  • Publish Date: June 2025
  • Dimensions: 10 x 7 x 0.35 inches
  • Shipping Weight: 0.64 pounds
  • Page Count: 162

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