eBPF

Expanded Definition

eBPF, or extended Berkeley Packet Filter, is a Linux kernel capability that allows verified programs to run in kernel space and observe or influence selected events with low overhead. In security operations, it is most often used for runtime telemetry, syscall inspection, network visibility, and host behaviour monitoring without requiring kernel code changes. That makes it especially valuable for modern detection and response tooling, where stability and performance matter alongside depth of visibility.

Its security meaning is narrower than generic observability. eBPF is not a product category, and it is not a detection outcome by itself. It is an enabling mechanism that security platforms use to collect high-fidelity signals from the operating system. In practice, that can support endpoint detection, workload monitoring, policy enforcement, and investigation workflows. The term is also used across cloud-native security discussions, where it often overlaps with container monitoring and runtime threat detection. Guidance varies across vendors on how broadly to describe eBPF-based controls, so it is best treated as a telemetry and enforcement primitive rather than a full security framework. For a governance lens, the NIST Cybersecurity Framework 2.0 is the most relevant reference point for mapping its contribution to detection, monitoring, and response.

The most common misapplication is treating eBPF as a complete security solution, which occurs when teams assume kernel-level visibility alone provides prevention, detection, and response without tuning, baselining, or analyst workflow integration.

Examples and Use Cases

Implementing eBPF rigorously often introduces kernel and operational complexity, requiring organisations to weigh richer runtime visibility against compatibility, tuning effort, and potential performance overhead in tightly controlled environments.

• Runtime threat detection in Linux servers, where eBPF sensors watch process creation, file access, and network connections to spot suspicious post-exploitation behaviour.
• Container and Kubernetes monitoring, where eBPF helps track short-lived workloads that traditional agents may miss, improving visibility into workload activity and lateral movement.
• Policy enforcement for network and host actions, where teams use eBPF to observe or block prohibited behaviours based on runtime context.
• Incident investigation, where analysts correlate syscall-level telemetry with identity, process, and network data to reconstruct attacker actions more precisely.
• Cloud workload protection, where eBPF provides low-noise telemetry that supports detection engineering and response automation in dynamic Linux estates.

Because eBPF is a kernel-level mechanism, its use is often paired with hardening and validation practices described in the NIST Cybersecurity Framework 2.0, especially where continuous monitoring and response depend on trustworthy runtime signals.

Why It Matters for Security Teams

Security teams care about eBPF because it closes visibility gaps that attackers often exploit after initial access. When adversaries execute binaries, inject code, pivot between processes, or abuse legitimate system utilities, higher-level logs may not show enough detail to support timely detection. eBPF can expose those behaviours at the host boundary, giving defenders a better chance of identifying suspicious execution chains and policy violations in Linux environments.

That said, the value of eBPF depends on governance, not just instrumentation. Teams need clear rules for what is collected, how alerts are tuned, and how signals flow into SIEM, EDR, and response workflows. In identity-rich environments, eBPF can also help confirm whether a service account, workload, or agent is behaving within expected bounds, which is increasingly relevant for non-human identity oversight. Misunderstanding usually leads to blind spots, alert fatigue, or false confidence in incomplete telemetry. The NIST Cybersecurity Framework 2.0 remains useful for framing how runtime visibility supports detect and respond outcomes rather than replacing them. Organisations typically encounter the operational necessity of eBPF only after an incident demands kernel-level proof of what actually happened, at which point the capability becomes difficult to avoid.

Related resources from NHI Mgmt Group

• When should security teams use kernel-level controls instead of eBPF for workload identity?
• What do security teams get wrong about eBPF and identity enforcement?