
Implementing Runtime Security with Tetragon
FreeEnhance Kubernetes security with eBPF-based observability.
Free · Opens the source repo
What Implementing Runtime Security with Tetragon does
Tetragon is a project under the Cloud Native Computing Foundation (CNCF) that leverages eBPF technology to provide advanced security observability and enforcement for Kubernetes clusters. By operating at the Linux kernel level, Tetragon enables monitoring and enforcement of security policies with minimal performance overhead, making it a powerful tool for securing containerized environments. It allows for detailed insights into process execution, file access, network connections, and system calls, which are critical for maintaining a secure Kubernetes infrastructure.
This skill is designed for developers and security engineers looking to implement runtime security measures in their Kubernetes environments. It provides the necessary tools to deploy Tetragon effectively, configure security policies, and monitor for potential threats. Users can define custom TracingPolicy resources to specify which kernel events to observe and the actions to take in response to those events, such as terminating malicious processes or blocking unauthorized file access.
With Tetragon, organizations can enhance their security posture by detecting and responding to threats in real-time. The skill supports compliance efforts by allowing users to establish security controls that align with regulatory requirements. It is particularly useful for teams conducting security assessments or looking to improve their security architecture in Kubernetes.
Overall, this skill is a valuable addition for those seeking to implement robust runtime security solutions in their Kubernetes clusters, leveraging the capabilities of eBPF for efficient and effective monitoring and enforcement.
When to use it
Use this skill when deploying Tetragon to implement runtime security in Kubernetes, particularly when compliance and security architecture improvements are required.
When not to use it
This skill may not be suitable for environments not using Kubernetes or for users unfamiliar with eBPF concepts and Kubernetes security primitives.
What you can build with it
Detecting Unauthorized File Access
Use Tetragon to monitor sensitive files and detect unauthorized read/write attempts, enhancing data security.
Blocking Malicious Processes
Implement a TracingPolicy to automatically terminate processes attempting to execute known malicious binaries.
Real-time Threat Monitoring
Stream runtime events using the Tetra CLI to observe process execution and network connections for immediate threat detection.
How to install Implementing Runtime Security with Tetragon
View source1. Install with the skills CLI
npx skills add mukul975/anthropic-cybersecurity-skills/implementing-runtime-security-with-tetragon --agent claude-code2. Or install it manually
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Inside SKILL.md
Written by mukul975Implementing Runtime Security with Tetragon
Overview
Tetragon is a CNCF project under Cilium that provides flexible Kubernetes-aware security observability and runtime enforcement using eBPF. By operating at the Linux kernel level, Tetragon can monitor and enforce policies on process execution, file access, network connections, and system calls with less than 1% performance overhead -- far more efficient than traditional user-space security agents.
When to Use
- When deploying or configuring implementing runtime security with tetragon capabilities in your environment
- When establishing security controls aligned to compliance requirements
- When building or improving security architecture for this domain
- When conducting security assessments that require this implementation
Prerequisites
- Kubernetes cluster v1.24+ with Helm 3.x installed
- Linux kernel 5.4+ (5.10+ recommended for full eBPF feature support)
- kubectl access with cluster-admin privileges
- Familiarity with eBPF concepts and Kubernetes security primitives
Core Concepts
eBPF-Based Security
Tetragon attaches eBPF programs directly to kernel functions, enabling:
- Process lifecycle tracking: Monitor every process creation, execution, and termination across all pods
- File integrity monitoring: Detect unauthorized reads/writes to sensitive files
- Network observability: Track all TCP/UDP connections with full pod context
- System call filtering: Enforce policies on dangerous syscalls like ptrace, mount, or unshare
TracingPolicy Custom Resources
Tetragon uses TracingPolicy CRDs to define what kernel events to observe and what actions to take:
apiVersion: cilium.io/v1alpha1
kind: TracingPolicy
metadata:
name: detect-privilege-escalation
spec:
kprobes:
- call: "security_bprm_check"
syscall: false
args:
- index: 0
type: "linux_binprm"
selectors:
- matchBinaries:
- operator: "In"
values:
- "/bin/su"
- "/usr/bin/sudo"
- "/usr/bin/passwd"
matchNamespaces:
- namespace: Pid
operator: NotIn
values:
- "host_ns"
matchActions:
- action: Post
Enforcement Actions
Tetragon can take three types of actions directly in the kernel:
- Sigkill: Immediately terminate the offending process
- Signal: Send a configurable signal to the process
- Override: Override the return value of a kernel function to deny an operation
Installation and Configuration
Step 1: Install Tetragon with Helm
helm repo add cilium https://helm.cilium.io
helm repo update
helm install tetragon cilium/tetragon \
--namespace kube-system \
--set tetragon.enableProcessCred=true \
--set tetragon.enableProcessNs=true \
--set tetragon.grpc.address="localhost:54321"
Step 2: Install the Tetragon CLI
GOOS=$(go env GOOS)
GOARCH=$(go env GOARCH)
curl -L --remote-name-all \
https://github.com/cilium/tetragon/releases/latest/download/tetra-${GOOS}-${GOARCH}.tar.gz
tar -xzvf tetra-${GOOS}-${GOARCH}.tar.gz
sudo install tetra /usr/local/bin/
Step 3: Verify Installation
kubectl get pods -n kube-system -l app.kubernetes.io/name=tetragon
tetra status
Practical Implementation
Detecting Container Escape Attempts
Create a TracingPolicy to detect processes attempting to escape container namespaces:
apiVersion: cilium.io/v1alpha1
kind: TracingPolicy
metadata:
name: detect-container-escape
spec:
kprobes:
- call: "__x64_sys_setns"
syscall: true
args:
- index: 0
type: "int"
- index: 1
type: "int"
selectors:
- matchNamespaces:
- namespace: Pid
operator: NotIn
values:
- "host_ns"
matchActions:
- action: Sigkill
Monitoring Sensitive File Access
Detect reads of sensitive credentials:
apiVersion: cilium.io/v1alpha1
kind: TracingPolicy
metadata:
name: monitor-sensitive-files
spec:
kprobes:
- call: "security_file_open"
syscall: false
args:
- index: 0
type: "file"
selectors:
- matchArgs:
- index: 0
operator: "Prefix"
values:
- "/etc/shadow"
- "/etc/kubernetes/pki"
- "/var/run/secrets/kubernetes.io"
matchActions:
- action: Post
Blocking Crypto-Miner Execution
Prevent known crypto-mining binaries from executing:
apiVersion: cilium.io/v1alpha1
kind: TracingPolicy
metadata:
name: block-cryptominers
spec:
kprobes:
- call: "security_bprm_check"
syscall: false
args:
- index: 0
type: "linux_binprm"
selectors:
- matchBinaries:
- operator: "In"
values:
- "/usr/bin/xmrig"
- "/tmp/xmrig"
- "/usr/bin/minerd"
matchActions:
- action: Sigkill
Observing Events with Tetra CLI
Stream runtime events in real-time:
# Watch all process execution events
kubectl exec -n kube-system ds/tetragon -c tetragon -- \
tetra getevents -o compact --process-only
# Filter events for a specific namespace
kubectl exec -n kube-system ds/tetragon -c tetragon -- \
tetra getevents -o compact --namespace production
# Export events in JSON for SIEM integration
kubectl exec -n kube-system ds/tetragon -c tetragon -- \
tetra getevents -o json | tee /var/log/tetragon-events.json
Integration with SIEM and Alerting
Export to Elasticsearch
# tetragon-helm-values.yaml
export:
stdout:
enabledCommand: true
enabledArgs: true
filenames:
- /var/log/tetragon/tetragon.log
elasticsearch:
enabled: true
url: "https://elasticsearch.monitoring:9200"
index: "tetragon-events"
Prometheus Metrics
Tetragon exposes metrics at :2112/metrics:
apiVersion: monitoring.coreos.com/v1
kind: ServiceMonitor
metadata:
name: tetragon-metrics
namespace: kube-system
spec:
selector:
matchLabels:
app.kubernetes.io/name: tetragon
endpoints:
- port: metrics
interval: 15s
Key Metrics and Alerts
| Metric | Description | Alert Threshold |
|---|---|---|
tetragon_events_total | Total security events observed | Spike > 3x baseline |
tetragon_policy_events_total | Events matching TracingPolicies | Any Sigkill action |
tetragon_process_exec_total | Process executions tracked | Anomalous new binaries |
tetragon_missed_events_total | Dropped events due to buffer overflow | > 0 sustained |
References
Frequently asked questions about Implementing Runtime Security with Tetragon
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