What the cloud feed is for
Hilt's cloud feed captures runtime data movement inside cloud and containerized environments. The goal is not just "cloud visibility." The goal is to understand which workload touched what data, where it moved next, and whether that movement matches the normal behavior of the service, namespace, or team.
Teams usually arrive here after realizing that API-level visibility is not enough for modern workloads. Custom services, internal job runners, GPU clusters, staging pods, and non-standard transfer paths are exactly where user-space coverage starts to thin out.
What the cloud feed captures
| Capability | Why it matters |
|---|
| Syscall-level file and process telemetry | Shows the actual workload behavior instead of only app-reported events |
| Container and Kubernetes context | Preserves namespace, pod, and service relationships for triage |
| Cross-service data movement | Connects reads, writes, staging, and egress across microservices |
| Low-overhead collection | Keeps the telemetry practical for production and latency-sensitive environments |
Where cloud buyers usually compare Hilt
Cloud buyers typically compare Hilt against Cyberhaven's user-space DDR model, the broader DLP and runtime category tradeoffs, and the data exfiltration prevention guide. That sequence makes it easier to separate architecture from vendor packaging.
When the cloud feed is the right starting point
Start with the cloud feed if your highest-risk movement starts in Kubernetes, containerized apps, model infrastructure, ETL jobs, or production data services. If the exfiltration chain usually starts from a workstation, review the endpoint feed. If the blind spot is egress or lateral transfer patterns, review the network feed.