Where in the stack does your proprietary value actually live?
Two layers. The first is the eBPF instrumentation at the syscall boundary — below any application, SDK, or user-space agent — which makes coverage application-agnostic by design. Every other category (DLP, CASB, DDR, UEBA) depends on knowing the app; Hilt does not. The second is the detection layer built on top of that telemetry: per-user and per-workload behavioral baselines, cross-domain correlation that fuses cloud, endpoint, and network movement in one plane, and inline policy enforcement in under one second. The moat is the combination — kernel-level capture is table stakes without the detection layer, and the detection layer is only as good as the telemetry underneath it.
How does your architecture address data movement that happens entirely in SaaS or LLM layers?
Every SaaS or LLM interaction starts as a syscall on an instrumented host: the HTTPS connection, the clipboard paste into a browser, the API call from a workload. Hilt sees those movements at the kernel before they leave the endpoint or container, which is where prevention is still possible. For SaaS-to-SaaS transfers where data never touches an instrumented system, Hilt depends on the same instrumentation being present on at least one side of the transfer — endpoint, workload, or egress path. The architectural position is that prevention has to happen at the source of movement, not inside every downstream vendor.
Will Hilt slow down my systems?
No. Hilt is built for performance-critical environments, including high-frequency trading firms where microseconds matter. The agent operates with sub-2 microsecond latency per event, uses less than 0.5% CPU, and stays under 50MB of memory. A ring-buffer architecture streams events to user-space with zero-copy overhead.
What is inline blocking and how does it work?
Inline blocking means Hilt can stop data exfiltration before it happens, not just alert you after the fact. When a policy violation is detected, Hilt intervenes at the kernel level in under one second to prevent the data from leaving. Traditional tools only log and alert, which means the data has already moved by the time you see the notification.
What platforms and environments does Hilt support?
Hilt supports Linux, macOS, and Windows endpoints. On the cloud side, it integrates with Kubernetes, container runtimes, and service meshes. Every event is enriched with Kubernetes namespace, pod, container ID, and service mesh metadata so you get full context across microservice boundaries.
How quickly can I deploy Hilt?
Deployment typically takes less than five minutes. On Linux you can install with a single curl command, on macOS through Homebrew, and on Windows via winget. There are no kernel modules to compile or load, and no system reboots required.
How does Hilt detect shadow AI usage?
Hilt monitors for unauthorized LLM usage at the kernel level. This includes data being pasted into AI chatbots, API calls to unapproved model endpoints, and other interactions that bypass your organization's approved AI workflows. Because monitoring happens at the syscall layer, it works regardless of which application or browser extension is being used.
How is Hilt different from traditional DLP solutions?
Traditional DLP tools operate in user-space by hooking into application APIs and file system watchers. They can only see data movement through applications they know about. Hilt operates at the kernel level using eBPF, which means it sees every data movement regardless of what application, script, or binary is responsible. If bytes move through the kernel, Hilt sees it.
Does Hilt work with containerized and Kubernetes environments?
Yes. Hilt is container-aware by design. It automatically enriches every event with Kubernetes namespace, pod name, container ID, and service mesh metadata. It maps data movement across microservice boundaries, showing which container accessed what data and where it went next.
What kind of support does Hilt offer?
You can book a call directly with our team from the dashboard, join our Discord community for peer support and discussions, or reach out through your account manager. We also publish a changelog so you can stay up to date on new features and improvements.
How does Hilt handle data privacy?
Hilt captures metadata about data movement, not the data content itself. The telemetry focuses on behavioral signals like what process accessed a file, where network connections are going, and how data flows between services. Your sensitive data stays where it is. Hilt watches the movement patterns, not the payload.