implementing-ebpf-security-monitoring

name	implementing-ebpf-security-monitoring
description	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.
domain	cybersecurity
tags	["implementing","ebpf","security","monitoring","tetragon","cilium","runtime","observability"]
subdomain	security-operations
version	1.0
author	oyi77
license	Apache-2.0
nist_ai_rmf	["MEASURE-2.7","MAP-5.1","MANAGE-2.4"]
atlas_techniques	["AML.T0070","AML.T0066","AML.T0082"]
nist_csf	["DE.CM-01","RS.MA-01","GV.OV-01","DE.AE-02"]

Implementing Ebpf Security Monitoring

Overview

Cybersecurity skill for implementing ebpf security monitoring. Follows industry best practices and security standards.

When to Use

Trigger phrases:

• "implementing ebpf security monitoring"

• "When deploying kernel-level runtime security monitoring on Linux hosts or Kubern"

• "When you need sub-millisecond visibility into process execution, network connect"

• "When traditional userspace monitoring tools introduce unacceptable performance o"

• 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

When NOT to Use

• When you lack proper authorization for testing
• For production systems without change management
• When the task requires legal or compliance expertise beyond technical scope

Prerequisites

• Linux kernel 5.3+ with BTF (BPF Type Format) support enabled
• Kubernetes 1.24+ cluster (for Kubernetes deployment) or standalone Linux host
• Helm 3.x installed (for Kubernetes deployment)
• kubectl configured with cluster access
• tetra CLI installed for local event streaming
• Python 3.8+ with requests, kubernetes, pyyaml dependencies
• Root or CAP_BPF/CAP_SYS_ADMIN capabilities for eBPF program loading

Workflow

# Example: IOC detection
import re

IOC_PATTERNS = {
    "ip": r"\b(?:\d{1,3}\.){3}\d{1,3}\b",
    "domain": r"\b[a-z0-9-]+\.[a-z]{2,}\b",
    "hash_md5": r"\b[a-f0-9]{32}\b",
    "hash_sha256": ,
}

 () -> :
     {k: re.findall(v, text)  k, v  IOC_PATTERNS.items()}