Funded research initiative
Kubernetes Storm Center.
An adaptive eBPF detection stack for Kubernetes. We combine mature open-source projects into a tunable signal-to-noise SOC, with node-local detection and a sovereign architecture.
- eBPF first
- tunable S/N
- NetIdee & FFG funded
What it is
An adaptive detection stack.
To detect attack paths, you need sensors and interpretation: The Kubernetes StormCenter is a research program that fuses several mature open-source eBPF projects into a single, tunable detection plane: protocol capture from Pixie, runtime anomaly detection from Kubescape, and Signal to Noise tuning via the Bill of Behavior reference implementation `bobctl`.
Each component is upstream-maintained; and we work closely with the maintainers.
Components
- github.com/k8sstormcenter — research org & deliverables
- github.com/pixie-io — eBPF observability plane
- github.com/kubescape — runtime anomaly detection
- bobctl — Bill-of-Behavior generator (not yet publicly released)
- ClickHouse — adaptive-write data lake
Get involved
Use it. Break it. Tell us.
COMING SOON : a list of live-labs to try out — write to info@fusioncore.ai.