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Artículo: AMZ-B0FCFX9HKD
Mastering Multi-Agent AI Red Teaming: The Essential Guide to Secure Agentic Systems (The Automation Stack)
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Kindle
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En stock
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0.20 kg
0.20 kg
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Nuevo
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Producto de
Amazon
Amazon
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USA
USA
Sobre este producto
- 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.
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