Introduction & Overview
What is Falco?
Falco is an open-source, cloud-native runtime security tool designed for Linux systems, containers, and Kubernetes environments. It provides real-time threat detection by monitoring system calls and other events, using customizable rules to identify and alert on suspicious behavior. As a graduated project under the Cloud Native Computing Foundation (CNCF), Falco is widely adopted for its ability to enhance security in dynamic, containerized environments.

History or Background
Falco was originally created by Sysdig in 2016 to address the need for runtime security in containerized and cloud-native environments. As computing architectures shifted toward containers and Kubernetes, traditional security tools struggled to keep pace with ephemeral workloads. Sysdig, building on its experience with Wireshark, developed Falco to provide deep visibility into system activities. In 2018, Sysdig donated Falco to the CNCF, and it achieved graduated status in 2023, reflecting its maturity and broad adoption by organizations like IBM, Red Hat, and Trendyol.
Why is it Relevant in DevSecOps?
DevSecOps integrates security into every phase of the software development lifecycle (SDLC), emphasizing collaboration, automation, and continuous monitoring. Falco aligns with DevSecOps by:
- Shifting Security Left: It enables early detection of threats during development and deployment, reducing vulnerabilities before production.
- Real-Time Monitoring: Falco’s runtime detection supports continuous security, a core DevSecOps principle.
- Automation and Integration: Its ability to integrate with CI/CD pipelines and cloud tools ensures security without slowing down development workflows.
- Shared Responsibility: Falco fosters a culture where developers, security, and operations teams collaborate on security, aligning with DevSecOps’ emphasis on collective accountability.
Falco’s focus on runtime security makes it essential for organizations adopting agile and DevOps practices, where rapid development cycles demand proactive security measures.
Core Concepts & Terminology
Key Terms and Definitions
- System Calls (Syscalls): Low-level interactions between applications and the Linux kernel, monitored by Falco to detect anomalies.
- Rules: Customizable conditions defining what constitutes suspicious behavior, written in a domain-specific language (DSL).
- Plugins: Extensions that allow Falco to ingest data from non-syscall sources, such as AWS CloudTrail, GitHub, or Okta events.
- Event Sources: Data streams (e.g., syscalls, Kubernetes audit logs) that Falco monitors for security events.
- Falcosidekick: A companion tool for forwarding Falco alerts to external systems like SIEMs, Slack, or data lakes.
- eBPF: Extended Berkeley Packet Filter, a technology used by Falco for efficient kernel-level monitoring.
Term | Definition |
---|---|
Syscall | System call; an interface for programs to interact with the kernel. |
Rules | YAML-based policies that define what is considered suspicious. |
Events | Activities generated by syscalls, such as file access or network connections. |
eBPF | Extended Berkeley Packet Filter, used to trace kernel-level operations efficiently. |
Sidekick | A complementary component to forward Falco alerts to various outputs. |
How It Fits into the DevSecOps Lifecycle
Falco integrates across the DevSecOps pipeline:
Plan: Define security policies and Falco rules to align with compliance requirements (e.g., PCI DSS, NIST).
Code: Use Falco to monitor development environments for unexpected behaviors, such as unauthorized access to sensitive directories.
Build: Integrate Falco with CI/CD tools to scan container images and detect misconfigurations before deployment.
Deploy: Monitor runtime environments to ensure secure deployment and detect anomalies in production.
Operate/Monitor: Provide continuous real-time threat detection and forward alerts to observability platforms for incident response.
DevSecOps Stage | Falco’s Contribution |
---|---|
Plan & Develop | Security rule design. |
Build | Optional integration for image inspection. |
Test | Alert on behavioral tests in staging. |
Release | Secure runtime checks in CD process. |
Deploy | Deployed as DaemonSet in Kubernetes. |
Operate | Monitors containers and hosts continuously. |
Architecture & How It Works
Components and Internal Workflow
Falco operates in both kernel and user space:
- Kernel Space: Uses a driver (e.g., Falco kernel module or eBPF probe) to collect system calls, placing them in a ring buffer for processing.
- User Space: Processes syscalls using the Falco engine, which evaluates them against rules and enriches events with metadata (e.g., container or Kubernetes context).
- Plugins: Extend Falco’s capabilities to monitor non-syscall sources, such as cloud service logs or authentication events.
- Outputs: Alerts are formatted (e.g., JSON) and sent to external systems via Falcosidekick or other integrations.
Workflow:
- Events (syscalls, plugin data) are captured from configured sources.
- The Falco engine parses events and applies rules to detect anomalies.
- Contextual metadata is added from container runtimes or Kubernetes.
- Alerts are generated and forwarded to SIEMs, messaging platforms, or data lakes.

Architecture Diagram Description
Imagine a layered diagram:
- Bottom Layer (Kernel): A Linux kernel with an eBPF probe or kernel module capturing syscalls.
- Middle Layer (Falco Core): The Falco engine processes events, applies rules, and enriches data with container/Kubernetes metadata.
- Top Layer (Outputs): Alerts are sent to external systems (e.g., Slack, Splunk) via Falcosidekick or gRPC.
- Plugins: A modular component connected to the core, ingesting external data (e.g., AWS CloudTrail).
+------------+ +-------------+ +--------------+
| Syscalls | --> | Falco Driver| --> | Falco Engine |
+------------+ +-------------+ +--------------+
| Rules Engine |
+-------+--------+
|
v
+------------------------+
| Alerts / Outputs |
| (Syslog, Webhook, etc.)|
+------------------------+
Integration Points with CI/CD or Cloud Tools
- CI/CD: Falco integrates with Jenkins, GitLab, or GitHub Actions to scan containers during build pipelines.
- Cloud Services: Plugins support AWS CloudTrail, GitHub, and Okta for monitoring cloud-native environments.
- Observability Tools: Falcosidekick connects to Splunk, ELK Stack, or Prometheus for centralized logging and monitoring.
- Kubernetes: Falco leverages Kubernetes metadata for contextual alerts and integrates with tools like Helm for deployment.
Installation & Getting Started
Basic Setup or Prerequisites
- Operating System: Linux (kernel 2.6 or later, x86_64 or ARM64).
- Dependencies: Falco requires
libelf
,libyaml
, and a container runtime (e.g., Docker, CRI-O) for metadata enrichment. - Hardware: Minimum 2 CPU cores, 4GB RAM for basic setups.
- Permissions: Root access to install kernel drivers or eBPF probes.
- Tools:
curl
,git
, and a package manager (apt
oryum
).
Hands-On: Step-by-Step Beginner-Friendly Setup Guide
This guide installs Falco on a Ubuntu 20.04 system using the eBPF probe.
- Install Prerequisites:
sudo apt update
sudo apt install -y curl git build-essential linux-headers-$(uname -r)
2. Add Falco Repository:
curl -s https://falco.org/repo/falcosecurity-packages.asc | sudo apt-key add -
echo "deb https://download.falco.org/packages/deb stable main" | sudo tee /etc/apt/sources.list.d/falcosecurity.list
sudo apt update
3. Install Falco:
sudo apt install -y falco
4. Start Falco Service:
sudo systemctl start falco
sudo systemctl enable falco
5. Verify Installation:
falco --version
sudo journalctl -u falco
6. Test with a Sample Rule:
Edit /etc/falco/falco_rules.local.yaml
to add a simple rule:
- rule: Detect_shell_execution
desc: Detects execution of shell binaries
condition: evt.type=execve and proc.name in (bash, sh, zsh)
output: Shell execution detected (user=%user.name command=%proc.cmdline)
priority: WARNING
Restart Falco:
sudo systemctl restart falco
7. Trigger and Monitor:
Run a shell (bash
) in a terminal and check logs:
sudo tail -f /var/log/falco/falco.log
Real-World Use Cases
- Kubernetes Cluster Monitoring:
- Container Security:
- Cloud Service Monitoring:
- Compliance Monitoring:
Benefits & Limitations
Key Advantages
- Real-Time Threat Detection: Identifies anomalies as they occur, reducing response time.
- Cloud-Native Design: Optimized for containers, Kubernetes, and cloud environments.
- Extensibility: Plugins support diverse event sources, from syscalls to cloud logs.
- Open Source: Community-driven, with no licensing costs and broad industry support.
- Compliance Support: Aligns with PCI DSS, NIST, and HIPAA through customizable rules.
Common Challenges or Limitations
- Performance Overhead: Monitoring high-throughput syscalls can strain system resources, especially without optimization.
- Complex Rule Management: Writing and maintaining rules requires expertise in Linux and Falco’s DSL.
- Limited Language Support: Core components are C++-based, which may deter teams preferring other languages like Go.
- Plugin Dependency: Some advanced features rely on external plugins, which may need additional configuration.
Best Practices & Recommendations
- Security Tips:
- Performance:
- Maintenance:
- Compliance Alignment:
- Automation Ideas:
- Integrate Falco with CI/CD pipelines (e.g., Jenkins) to scan containers during builds.
- Use Falcosidekick to automate alert routing to incident response platforms.
Comparison with Alternatives
Tool | Falco | Osquery | Sysmon |
---|---|---|---|
Focus | Cloud-native runtime security | Endpoint monitoring | Windows event logging |
Event Source | Syscalls, plugins (CloudTrail, etc.) | SQL-based queries on system state | Windows event logs |
Platform | Linux, Kubernetes, cloud | Cross-platform (Linux, macOS, Windows) | Windows |
Extensibility | Plugins, rules | SQL queries | Configuration files |
Integration | CI/CD, SIEM, Kubernetes | SIEM, logging platforms | SIEM, Splunk |
Use Case | Real-time threat detection | System auditing, compliance | Windows-specific monitoring |
Pros | Cloud-native, real-time, extensible | Flexible queries, cross-platform | Deep Windows integration |
Cons | Resource-intensive, complex rules | No real-time detection | Windows-only |
When to Choose Falco:
- Use Falco for cloud-native environments (Kubernetes, containers) requiring real-time threat detection.
- Choose Osquery for cross-platform auditing or Sysmon for Windows-specific monitoring.
Conclusion
Falco is a powerful tool for DevSecOps, offering real-time threat detection and seamless integration with cloud-native workflows. Its extensibility via plugins and alignment with compliance frameworks make it a go-to solution for securing containers, Kubernetes, and cloud environments. However, teams must address performance overhead and rule complexity to maximize its value.