Real-time eBPF network observability with ML-powered policy automation.
Monitor every network flow in your Kubernetes cluster, generate security policies automatically with machine learning, and validate changes with time-travel replay and chaos engineering -- all from a single Rust-powered platform.
From live flow monitoring to ML-driven policy generation and chaos testing, Cilium Flow covers the full network security lifecycle.
Stream and filter every network flow in real time via Hubble integration. Identify anomalous traffic patterns before they become incidents.
Machine learning analyzes observed traffic patterns and generates least-privilege Cilium network policies automatically. Reduce manual policy authoring by 90%.
Trace network issues back to their source with correlated flow data, policy decisions, and endpoint state. Resolve connectivity incidents in minutes, not hours.
Replay historical network flows to understand past incidents. Validate policy changes against recorded traffic before deploying to production.
Simulate, inject faults, and canary-deploy network policy changes with confidence.
Dry-run policy changes against live traffic to predict impact before applying them to your cluster.
Inject network faults, latency, and packet loss to validate application resilience and policy correctness under failure conditions.
Roll out network policy changes incrementally with automated rollback triggers if error rates exceed defined thresholds.
See how Cilium Flow delivers real-time network intelligence and ML-powered policy automation for your Kubernetes clusters.