CNAPP / CSPM / Sysdig

Sysdig

Sysdig uses runtime information to support cloud threat detection and vulnerability prioritization, with a strong Kubernetes and Linux orientation. Knowing a package is present differs from knowing it is used by a running workload. Both kinds of evidence can inform a decision, without making unused software harmless.

Runtime-focused cloud and Kubernetes securityResearch reviewed

What you are evaluating

Runtime sensing, posture and Kubernetes assessment have different deployment requirements. Falco and eBPF-related detection require supported instrumentation; an API-only posture connection does not provide the same process visibility. Verify kernel, cluster and workload support before rollout.

A useful evaluation context

A container-oriented platform team can evaluate runtime evidence and Kubernetes posture as inputs to its existing patching and incident processes.

Documented capabilities

The vendor describes these capabilities in the linked sources. Availability depends on the product edition and supported environment.

  • Runtime insights provide context for prioritizing vulnerabilities associated with running workloads.
  • Falco and eBPF-related detection observe supported behavior and generate cloud investigation signals.
  • Cloud and Kubernetes posture capabilities assess configuration alongside runtime-focused workflows.

Where it fits in the work

  1. Choose a non-production Linux or Kubernetes workload and confirm the supported sensor deployment and required privileges.
  2. Compare its package inventory with observed usage, documenting what a lack of runtime evidence can and cannot establish.
  3. Create a harmless documented test event and verify that the alert identifies the process, workload and responsible service owner.

APPLY THE IDEA / ILLUSTRATIVE EXERCISE

Make the outcome observable.

Run an approved benign command inside a synthetic workload and compare its runtime event with the workload’s image vulnerability inventory.

Evidence to look for

The runtime record identifies the test process and container, while the evaluation preserves image findings that lack observed use rather than automatically dismissing them.

Use synthetic data and an authorized test environment. Agree the scope and recovery steps before enabling enforcement.

Questions for your evaluation

  1. Which kernels, node types and managed Kubernetes modes support the sensor?
  2. How does the team distinguish unobserved activity from proof that a package is never used?
  3. What operational overhead and alert-review work appear in the team’s own bounded lab?

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