Attackers in containers don't leave persistent artifacts. No files on disk. No post-incident logs. Just short-lived runtime behavior.
Traditional detection approaches weren't built for this. Defend for Containers is.
@RFGroenewoud published a deep-dive on how D4C captures runtime signals inside containerized Linux workloads, and how to build detection logic on top of it.
The key things D4C gives you that you don't get elsewhere:
- process.interactive flags hands-on-keyboard activity in production containers — rare and high-signal
- Linux capability fields (effective permitted) let you assess actual exploit potential, not just process names
- Every event enriched with pod name, namespace, cluster, and privilege context
- Policy wildcards let you scope detections to specific images, namespaces, or directory trees
go.es.io/48sPCtC