The Tool Desk
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What does eBPF add to container security at runtime?
Image scanning and configuration reviews examine a workload before or around deployment. Kernel-level runtime telemetry can instead reveal selected behavior as a workload runs. For example, Falco describes collecting Linux system calls, evaluating the event stream against rules, and alerting when a rule is violated. It can enrich alerts with container-runtime and Kubernetes metadata, helping an analyst connect an event to its workload context. Falco documentation
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Rules may flag activity such as attempts to escalate privileges, namespace changes, writes to sensitive directories, unexpected network connections, or unusual process launches. These are indicators to investigate, not proof that an event is malicious: legitimate software can perform behavior that a rule considers suspicious, and a useful detection depends on the rule and its context.
How does kernel-level telemetry detect suspicious container behavior?
- Observe selected events. An eBPF-based sensor collects supported kernel activity, such as system calls or network-related events, while workloads run.
- Add workload context. Depending on the tool and configuration, events can be associated with processes, containers, pods, namespaces, or services.
- Evaluate and respond. Detection logic can turn events into alerts. Some implementations also support policy enforcement, so they can take action rather than only report activity.
- Investigate the evidence. Teams assess whether the event fits expected workload behavior, follow up on alerts, and tune rules to limit noise without losing relevant detections.
Telemetry is evidence for detection and investigation, not a guarantee that every suspicious action will be seen or correctly classified. The event sources, available context, rules, and response capabilities vary by implementation.
#1 Best Overall
How process and network visibility differ
Process and file monitoring and network-flow observability answer related but distinct questions. A runtime detector focused on system calls can help show what a process attempted to do, such as accessing a file or launching another process. Cilium and Hubble provide an eBPF-based view of network policy and service communications, helping teams examine which services communicate. Network-flow visibility complements process and file monitoring; it does not replace it. Cilium overview
How to compare runtime-security approaches
Compare tools against the threats and operating conditions that matter in your environment. Falco documents rules and alerts over kernel events, with plugins for additional event sources. Tetragon describes eBPF-based security observability and runtime enforcement, with events that can be associated with Linux and Kubernetes context. Cilium and Hubble emphasize network policy and flow visibility. These descriptions indicate different capabilities, not a universal ranking. The cited project documentation does not establish a controlled, head-to-head performance comparison.
Rank #2
| Comparison question | What to establish |
|---|---|
| Event scope | Which system calls, process actions, file activity, and network behavior are covered—and which relevant events are not? |
| Context | Can an event be tied to the process, container, pod, namespace, or service identity needed for investigation? |
| Detection and response | Does the tool alert, enforce policy, or integrate with the response systems your team uses? |
| Deployment conditions | Which kernel features, capabilities, host access, and orchestration settings does it require? |
| Operations | Can the team tune rules, manage event volume, detect dropped events, handle upgrades, and follow up on incidents? |
| Trust boundary | Could someone with host-level privileges disable or tamper with the sensor or its kernel programs? |
Kernel and permission requirements are tool-specific
Requirements depend on the implementation and node configuration. For Falco’s modern eBPF probe, the project documents BPF ring-buffer support and a kernel exposing BTF. Its documentation says kernels at or above 5.8 are usually sufficient, while noting that features may be backported; checking the actual node kernel and its features is therefore more reliable than relying only on a version number. Falco also documents capabilities used by the probe, with the precise privilege set depending on kernel support and operating conditions. These are Falco-specific requirements, not a universal checklist for every eBPF tool. Falco kernel event source
Falco’s container deployment guidance says its default kernel-event setup requires privileged access and may require driver installation depending on the node kernel. Its older kernel-module path requires full privileges. Those deployment details make host access, least privilege, upgrades, and control over deployment part of the security design—not simply installation choices. Falco container setup
Rank #3
What eBPF runtime detection cannot guarantee
Kernel telemetry does not guarantee complete visibility, correct alerts, or a trustworthy host. Cilium’s threat model explains that an attacker with root-equivalent access to the host can disable eBPF and undermine visibility or enforcement that depends on it. It also identifies risks associated with privileged pods, host PID or network namespaces, and access to container-runtime components. Cilium threat model
Quick Recap
- Protect nodes as a critical security boundary; a compromised host can compromise the sensor’s reliability.
- Minimize workload privileges and carefully control host namespace and runtime access.
- Centralize audit data so investigations do not depend solely on a sensor or node that may be compromised.
- Use runtime detections alongside least privilege and network controls rather than treating telemetry as a complete security program.
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