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SKU/Artículo: AMZ-B0GCD3MXZV

The AI Agent Kill Switch: Network-Level Containment for Runaway AI Agents in Kubernetes

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Paperback

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Paperback

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Peso con empaque:
0.60 kg

Devolución:
Sí

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Nuevo

Producto de:
Amazon

Viaja desde
USA

Sobre este producto

your AI agent just went rogue at 3 AM. It is stuck in an infinite loop; hammering your external API with 50 requests per second. Your cloud bill is climbing. Your API rate limits are maxed out. The agent shows no signs of stopping.Do you have a kill switch?Most organizations deploying AI agents to production do not. They rely on application level controls and rate limiting. They hope nothing goes wrong. But AI agents are unpredictable. LLMs hallucinate; they misinterpret instructions and get stuck in retry loops.When prevention fails, you need containment.The Complete Containment SystemThe AI Agent Kill Switch shows you how to build a production ready containment system for AI agents running in Kubernetes. Using eBPF monitoring, Cilium network policies, and forensic honeypots, you will create a system that handles the following:Detects runaway agents in under 500 millisecondsRedirects traffic to a honeypot sandbox automaticallyCaptures complete forensic evidence for debuggingKeeps your external APIs safe from runaway trafficWorks with any LLM based agent like OpenAI, Anthropic, or local models What You Will BuildForensic Honeypot: Captures all traffic from quarantined agents without blockingeBPF Watchdog: Kernel level monitoring that detects anomalies in real timeCilium Policies: Microsecond latency enforcement using pure eBPFComplete Kubernetes Integration: Production ready deployment with HA and monitoringReal World TestedEvery component in this book is production tested. You will learn from actual incidents:The hallucinating research agent with a 4,200 dollar API billThe compromised credentials that prevented lateral movementThe infinite retry loop where 23 agents were quarantined simultaneouslyThe resource starvation attack requiring quarantine and CPU limitsThe false positive where baseline data prevented recurring issuesWho This Book Is ForNetwork engineers, security architects, and platform engineers deploying AI agents to production. You should understand Kubernetes basics and networking concepts. No eBPF experience is required. I teach everything from scratch.What Is IncludedComplete architecture and design decisionsStep by step implementation for all componentsProduction deployment guides for GKE, EKS, and AKSHigh availability and security hardeningAdvanced configuration and tuningReal incident playbooks and post mortemsIntegration with existing security toolsOpen source code repository 30 Day Action PlanWeek 1: Build the POC in kindWeek 2: Deploy to production cloudWeek 3: Integrate with monitoring and alertingWeek 4: Tune thresholds and document patternsFrom CCIE 14019I am David Cooper. I bring 25 years of network security experience and hands on experience building containment systems for AI agents. This is not theory. This is battle tested production infrastructure.AI agents are coming to production whether you are ready or not. Build your kill switch before the first incident.All code open sourced at github.com/RunTimeAdmin/ai-agent-killswitchProduction ready in 30 daysNo vendor lock in

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