This is the deep dive on runtime security: how the platform detects and stops malicious behaviour while workloads are running, as opposed to blocking it at admission (Kyverno) or hardening it at the OS layer (Talos).

It exists mainly to answer one recurring question: why do we run two eBPF-based runtime sensors — Kubescape's node-agent and Tetragon — instead of picking one? The short answer is that they are not the same kind of tool; the long answer is below.

Guiding principle: detection and enforcement are different jobs, and the best tool for each is different. We accept one deliberate overlap (two eBPF agents) to get both done well, and we write down the conditions under which we'd revisit that.

Runtime security here is layered. The two eBPF sensors are the headline, but they sit inside a wider set of controls:

This document focuses on the two middle-to-bottom rows — the eBPF sensors.

Enabled in kubescape/helm-release.yaml:

capabilities:
  configurationScan: enable   # CIS / NSA / MITRE compliance
  continuousScan: enable
  vulnerabilityScan: enable   # image CVEs (kubevuln)
  runtimeDetection: enable    # ← the eBPF node-agent
hostScanner:
  enabled: true
nodeAgent:
  config:
    hostSensor:
      enabled: true

Kubescape is a posture platform that happens to ship a runtime sensor. Its node-agent builds a learned profile of each workload's normal syscall/file/ network behaviour and flags deviations — and, crucially, it reports those deviations in the same pane as the config-scan results, the image-CVE inventory, and the CIS/NSA/MITRE compliance frameworks. That correlation is the point: "this container is doing something unusual and it has a known-exploitable CVE and it violates control C-00xx" is a far stronger signal than any of those alone.

What it does not do: it is detection-only. It will tell you a process misbehaved; it will not stop it.

Installed via #1688 (agent + operator), with its enforcement policy under k8s/bases/infrastructure/tracing-policies/.

Tetragon's job here is the one thing Kubescape's node-agent cannot do: enforcement. We deliberately do not use Tetragon to duplicate Kubescape's runtime detection (anomaly profiling, sensitive-file/exec/network visibility, posture correlation) — that is Kubescape's domain and it does it better. Tetragon adds:

1. Enforcement. A TracingPolicy can carry a SIGKILL action that terminates the offending process as soon as Tetragon observes a matching event (e.g. a write to a protected system path). This is post-event termination — the triggering syscall may already have completed, so it kills the process, it does not block the call. (Tetragon's Override action can block the syscall itself where the kernel supports it; this platform uses SIGKILL.) It does something a detection-only tool can't: it stops the workload rather than just alerting. The policy (enforce-protect-system-files.yaml) is opt-in per workload via a pod label, so it starts safe — zero blast radius until a workload opts in.
2. Precise, declarative kernel hooks. TracingPolicy targets specific kprobes/tracepoints (a syscall, an LSM hook, a file path) with low overhead. That makes it the right tool for narrow, high-value invariants you enforce, like "no one rewrites /etc or a system binary."

What it does not do: no compliance frameworks, image CVEs, or a learned "normal" baseline — and, by choice, no standalone detection policies (that would duplicate Kubescape). It enforces the rules you write.

They sit at opposite ends of the detect → enforce spectrum:

        Kubescape node-agent                         Tetragon
   ┌────────────────────────────┐        ┌────────────────────────────┐
   │ broad, learned, correlated │        │ narrow, declared, enforcing│
   │ "something looks wrong AND  │        │ "this exact thing is        │
   │  it maps to a known risk"   │   vs.  │  forbidden — kill it now"   │
   │ detection only              │        │ detection + enforcement     │
   └────────────────────────────┘        └────────────────────────────┘

Consolidating onto either one would either give up the ability to block attacks (Kubescape-only) or give up posture-correlated detection (Tetragon-only). For a platform that is going public, we want both.

• Two sets of eBPF programs are loaded on every node (each sensor attaches its own probes). That is real memory and a little CPU per node. On the memory-constrained prod nodes this is bounded but not free — see docs/node-autoscaling.md and the resource right-sizing work for the budget context.
• Overlapping syscall visibility. Both sensors can see exec/open events. We accept the duplication because each consumes those events for a different purpose (anomaly baseline vs. policy match).

Running two eBPF sensors is a deliberate overlap — Kubescape for detection, Tetragon for the enforcement Kubescape lacks — not a permanent one. Reopen it if either becomes true:

1. Kubescape gains comparable enforcement. Tetragon exists here specifically because Kubescape's node-agent is detection-only. If Kubescape (or whatever posture platform we run) ships process-killing / syscall-blocking enforcement we trust, Tetragon's reason to exist shrinks to its precise kernel-hook policies — at which point dropping Tetragon and letting Kubescape own all runtime becomes the simpler architecture.
2. Node memory pressure becomes acute. Two sensors cost memory per node. The preferred lever is to trim Tetragon to only the enforcement policies in active use — not to disable Kubescape's runtime detection, which is the capability we lean on most (use Kubescape as much as possible).

Until one of those holds, both run: Kubescape detects, Tetragon enforces.