Deploying Falco on Kubernetes
Step-by-step guide to deploying Falco runtime security monitoring on Kubernetes clusters.
Runtime security is the last line of defense when attackers bypass perimeter controls. Falco provides real-time threat detection for Kubernetes workloads.
Why Falco?
Falco uses eBPF and kernel modules to detect suspicious behavior:
- Shell execution in containers
- Unexpected network connections
- Privilege escalation attempts
- Sensitive file access
Installation with Helm
helm repo add falcosecurity https://falcosecurity.github.io/charts
helm install falco falcosecurity/falco \
--namespace falco \
--create-namespace \
--set driver.kind=ebpf \
--set falcosidekick.enabled=trueDriver Selection
eBPF is preferred for modern kernels (5.8+). Use the kernel module driver only when eBPF is unavailable.
Custom Rules
Create rules for your environment:
- rule: Unauthorized Process in Production
desc: Detect unexpected processes in production namespace
condition: >
spawned_process
and k8s.ns.name = "production"
and not proc.name in (allowed_production_processes)
output: >
Unexpected process in production
(user=%user.name command=%proc.cmdline container=%container.name)
priority: WARNING
tags: [production, process]Alert Routing with Falcosidekick
Configure Slack notifications:
config:
slack:
webhookurl: "https://hooks.slack.com/services/..."
minimumpriority: "warning"
outputformat: "all"Tuning for Production
- Start in audit mode (log only, no blocking)
- Baseline normal behavior for 1-2 weeks
- Tune rules to reduce false positives
- Gradually increase alert priority thresholds
- Integrate with SIEM for correlation
Conclusion
Falco provides essential runtime visibility with minimal performance overhead. The investment in rule tuning pays off quickly when you catch your first real threat.
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