Individual skill
implementing-ebpf-security-monitoring
Implements eBPF-based security monitoring using Cilium Tetragon for real-time process execution tracking, network connection observability, file access auditing, and runtime enforcement. Covers TracingPolicy CRD authoring with kprobe/tracepoint hooks, in-kernel filtering via matchArgs/matchBinaries selectors, JSON event export, and integration with SIEM pipelines. Use when building kernel-level runtime security observability for Linux hosts or Kubernetes clusters.
skills/implementing-ebpf-security-monitoring/SKILL.md
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- Last checked
- Nov 9, 2026
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- Aug 31, 2026
- License
- Apache-2.0
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- ai-agents Repository topic
- claude-code Repository topic
- cybersecurity Repository topic
- incident-response Repository topic
- mitre-attack Repository topic
- penetration-testing Repository topic
- red-team Repository topic
- security Repository topic
- cloud-security Repository topic
- malware-analysis Repository topic
- ebpf Declared skill tag
- tetragon Declared skill tag
- cilium Declared skill tag
- runtime-security Declared skill tag
- observability Declared skill tag
- kernel-security Declared skill tag
- kubernetes-security Declared skill tag
- operations Derived category
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# Implementing eBPF Security Monitoring
## When to Use
- When deploying kernel-level runtime security monitoring on Linux hosts or Kubernetes clusters
- When you need sub-millisecond visibility into process execution, network connections, and file access
- When traditional userspace monitoring tools introduce unacceptable performance overhead
- When building detection pipelines that require in-kernel filtering before events reach userspace
- When enforcing runtime security policies (kill process, send signal) at the kernel level
## Prerequisites
- Linux kernel 5.3+ with BTF (BPF Type Format) support enabled
- Kubernetes 1.24+ cluster (for Kubernetes deployment) or standalone Linux host