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

Your AI agent just went rogue at 3 AM. It's 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. And the agent shows no signs of stopping.
Do you have a kill switch?
Most organizations deploying AI agents to production don't. They rely on application-level controls, rate limiting, and hoping nothing goes wrong. But AI agents are fundamentally unpredictable-LLMs hallucinate, misinterpret instructions, and get stuck in retry loops.
When prevention fails, you need containment.
THE COMPLETE CONTAINMENT SYSTEM
"The 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'll create a system that:
✓ Detects runaway agents in under 500 milliseconds
✓ Redirects traffic to a honeypot sandbox automatically
✓ Captures complete forensic evidence for debugging
✓ Keeps your external APIs safe from runaway traffic
✓ Works with any LLM-based agent (OpenAI, Anthropic, local models)
WHAT YOU'LL BUILD
- Forensic Honeypot: Captures all traffic from quarantined agents without blocking
- eBPF Watchdog: Kernel-level monitoring that detects anomalies in real-time
- Cilium Policies: Microsecond-latency enforcement using pure eBPF
- Complete Kubernetes Integration: Production-ready deployment with HA and monitoring
REAL-WORLD TESTED
Every component in this book is production-tested. You'll learn from actual incidents:
- The hallucinating research agent ($4,200 API bill)
- The compromised credentials (prevented lateral movement)
- The infinite retry loop (23 agents quarantined simultaneously)
- The resource starvation attack (quarantine + CPU limits required)
- The false positive (baseline data prevented recurring issues)
WHO THIS BOOK IS FOR
Network engineers, security architects, and platform engineers deploying AI agents to production. You should understand Kubernetes basics and networking concepts. No eBPF experience required-everything is taught from scratch.
WHAT'S INCLUDED
- Complete architecture and design decisions
- Step-by-step implementation for all components
- Production deployment guides for GKE, EKS, and AKS
- High availability and security hardening
- Advanced configuration and tuning
- Real incident playbooks and post-mortems
- Integration with existing security tools
- Open source code repository
30-DAY ACTION PLAN
Week 1: Build the POC in kind
Week 2: Deploy to production cloud
Week 3: Integrate with monitoring/alerting
Week 4: Tune thresholds and document patterns
FROM CCIE #14019
David Cooper brings 25 years of network security experience, CCIE certification, and hands-on experience building containment systems for AI agents. This isn't theory-it's battle-tested production infrastructure.
AI agents are coming to production whether you're ready or not. Build your kill switch before the first incident.
★ All code open sourced at github.com/RunTimeAdmin/ai-agent-killswitch
★ Production-ready in 30 days
★ No vendor lock-in
eBook Details:
Title: The AI Agent Kill Switch: Network-Level Containment for Runaway AI Agents in Kubernetes
Author: David Cooper
Language: English
Year: 2025
ASIN: B0GCF2CPXC
Total pages: 296
Format: pdf
Size: 72 MB

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