AetherKube.
Container security, build to runtime — one model.
Cloud-native security across the whole lifecycle: image and IaC scanning, admission control, eBPF runtime detection and automated enforcement, with KSPM posture, network microsegmentation and supply-chain protection. Image scans under 30 seconds, admission under 250ms, sub-3% sensor overhead, 5,000 clusters per control plane — container security suites/runtime security platforms/agentless cloud posture parity, self-hosted and air-gapped.
- Engines
- 12, one platform
- Coverage
- Build → runtime
- Runtime
- eBPF, ≤ 3% CPU
- Deploy
- Cloud · self-hosted · air-gapped
Build to runtime, one platform.
Cloud-native security fractured into an agentless posture scanner, a runtime sensor, an admission controller and a supply-chain tool — and the gaps between them are where container attacks operate. AetherKube runs the whole lifecycle on one model, so the CVE in the image, the policy at admission and the reverse shell at runtime are one story.
Image vulnerability scanning
Multi-ecosystem, layer-aware scanning of container images for vulnerabilities, malware and misconfigurations — in the registry and the pipeline, under a 30-second p95.
IaC & config scanning
Kubernetes manifests, Helm charts and IaC tools scanned for misconfigurations and policy violations before they reach a cluster.
Admission control
Policy-as-code enforced at the admission webhook — block a non-compliant or vulnerable workload at deploy, under a 250ms p95 so it never slows the pipeline.
eBPF runtime sensor
Kernel-level visibility into process, file, network and syscall activity via eBPF — under 3% CPU and 350MB, with no sidecars to inject.
Runtime threat detection
Detect cryptomining, reverse shells, container escapes, drift and lateral movement against behavioural baselines and threat intelligence — detection-to-alert under 5 seconds.
Automated response & enforcement
Kill a process, isolate a pod, block a connection — detection-to-enforcement under 2 seconds, capability-gated and reversible.
Network policy & microsegmentation
Discover service-to-service traffic and generate least-privilege network policies — east-west segmentation without hand-writing YAML.
Posture management (KSPM)
Continuous cluster and cloud posture against CIS benchmarks and your policy, with drift detection and prioritised, fixable findings.
Supply chain & SBOM
SBOM generation, provenance and signature verification, and malicious-dependency protection across the image supply chain.
Secrets & identity
Detect exposed secrets in images and manifests, and surface over-privileged service accounts and RBAC risks across the cluster.
Compliance & reporting
PCI, SOC 2, NIST and CIS evidence assembled continuously from the same telemetry, with audit-ready reports.
AI security copilot
Explain a finding, write an admission policy, triage a runtime alert and propose the fix — in plain language over the whole cluster estate.
Posture and runtime, not one or the other.
The scanners are weak at runtime; the runtime tools bolt on posture. AetherKube does both on one model — and runs where your clusters run.
Fast enough to gate and stop.
Security that slows the pipeline gets disabled. These are the budgets the platform is built to.
registry & pipeline
no pipeline drag
typical / peak, eBPF
no sidecars
runtime threats
automated response
per control plane
build to runtime
One platform for the cluster.
Scanner, sensor, admission controller and posture tool collapse into one model, one finding queue and one audit trail.
Good to know.
Agentless posture tools (like agentless cloud posture) are strong at scanning and weak at runtime; runtime tools (like container security suites and runtime security platforms) are strong at the sensor and bolt on posture. AetherKube runs the whole lifecycle on one model — image and IaC scanning, admission control, eBPF runtime detection and automated enforcement — so a vulnerability found in the image, blocked at admission and watched at runtime is one finding across one timeline, not three tools.
It's eBPF, not a sidecar — kernel-level visibility under 3% CPU typical and 350MB, with no injection into your pods. Admission stays under 250ms p95 so it never becomes the bottleneck in your deploy pipeline.
Yes — detection-to-enforcement is under 2 seconds: kill the process, isolate the pod, block the connection. Enforcement is capability-gated and reversible, with every action logged.
Yes — self-hosted and fully air-gapped, scaling to 5,000+ clusters per control plane, with SBOM, signature verification and compliance evidence generated where your workloads run.
Secure the cluster, build to runtime.
Image to admission to runtime to enforcement, on one model with one finding queue and capability-gated response. Request access to deploy it self-hosted or air-gapped.
Part of Aether Security — one platform across thirteen domains. Container security sits on the same foundation as the rest of Aether — one model, every discipline.