Implementing Ebpf Security Monitoring

---
name: implementing-ebpf-security-monitoring
description: 'Use when 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
category: cybersecurity
---

# 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

```python
# 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": r"\b[a-f0-9]{64}\b",
}

def extract_iocs(text: str) -> dict:
    return {k: re.findall(v, text) for k, v in IOC_PATTERNS.items()}
```

1. **Assess Requirements** — Evaluate current environment and define ebpf security monitoring implementation requirements.
2. **Design Architecture** — Plan the ebpf security monitoring architecture, including components, integrations, and data flows.
3. **Configure Components** — Set up and configure each ebpf security monitoring component according to best practices.
4. **Test Integration** — Validate that all components work together. Run functional and security tests.
5. **Deploy to Production** — Roll out the implementation with monitoring and rollback capabilities.
6. **Validate and Document** — Verify the implementation meets requirements. Document configuration and runbooks.

## Tools

- **Configuration Management** — Infrastructure as code and automation
- **Monitoring Stack** — Observability and alerting
- **Documentation Platform** — Runbooks and architecture docs


## Process

1. **Reconnaissance** — Gather target information, identify attack surface, enumerate services
1. **Analysis/Exploitation** — Execute the technique, analyze results, document findings
1. **Reporting** — Document IOCs, write findings, provide remediation recommendations

## Verification

- [ ] All ebpf security monitoring procedures executed completely and documented
- [ ] Findings validated against multiple data sources
- [ ] False positives identified and filtered
- [ ] Results documented with evidence and timestamps
- [ ] Recommendations provided with risk-based prioritization

## Anti-Rationalization Table

| Rationalization | Reality |
|---|---|
| "We are too small to be targeted" | Automated attacks target everyone. Size does not matter. |
| "Security slows us down" | A breach slows you down 100x more. Build security in from the start. |
| "We will fix it after launch" | Vulnerabilities in production are exploited within hours. Fix before deploy. |