Why Hilt exists
Security teams already buy DLP, CASB, insider risk, DSPM, and EDR. Those tools answer useful questions, but they still leave one hard question unresolved: is sensitive data moving somewhere it should not move right now? Hilt is built for that question. It combines kernel-level telemetry, cross-domain correlation, and runtime response so teams can catch the anomalous move before the SOC turns it into a multi-hour investigation.
If you are evaluating the category, start with data exfiltration prevention, then compare how Hilt differs from user-space DDR approaches like Cyberhaven and from the broader category comparison hub.
Where Hilt fits relative to incumbent categories
| Category | What it does well | Where it breaks down | How Hilt fits |
|---|
| DLP | Enforces content policies on known channels | Misses behavioral abuse, custom binaries, and unsanctioned paths | Adds runtime detection when the behavior is wrong, even if the permissions look normal |
| DDR | Reconstructs how tracked data moved | Usually depends on user-space telemetry and manual response | Adds kernel-level visibility and runtime host isolation |
| Insider risk / UEBA | Surfaces risky users and anomalous behavior | Often stays endpoint-centric and alert-driven | Connects behavior to the actual data movement across cloud, SaaS, endpoints, and AI agents |
| DSPM | Finds and classifies sensitive data estates | Tells you what exists, not what is leaving | Adds the real-time movement and response layer |
| CASB / SSE | Enforces policy on sanctioned cloud channels | Sees only the paths that traverse the proxy or API integration | Adds bypass-resistant telemetry at the kernel |
What makes Hilt different
1. Kernel-level telemetry instead of user-space reconstruction
Hilt watches data movement at the kernel, where the move actually happens. If a process reads, writes, stages, compresses, or transfers data, Hilt sees the event where it actually happens. That gives security teams visibility into the custom scripts, renamed binaries, and unsanctioned paths that user-space tools struggle to model.
2. Cloud, SaaS, endpoints, and AI agents in one movement graph
Most products stop at one domain. Hilt connects workload activity from cloud environments with user and device activity from endpoints. That lets the system score the full sequence instead of a single isolated alert.
3. Response at runtime, not only explanation
Buyers evaluating Hilt are usually not looking for another dashboard. They want to shorten time-to-containment. When a pattern is dangerous, Hilt isolates the host at the network (quarantine) from the control plane, off the path and never inline, so the move has nowhere left to go instead of becoming a ticket you read after the data already crossed a boundary.
Who should evaluate Hilt first
The data movement blind spot is universal: every company moves its most valuable data across cloud, SaaS, endpoints, and AI agents on access it granted on purpose, and no single tool watches the pattern across those permitted moves. Hilt is built for high-sensitivity teams that feel that gap most acutely, across fintech, healthcare, legal, AI infrastructure, and quant and finance.
If that sounds like your environment, the fastest next steps are to read the Cyberhaven alternative guide, compare the category tradeoffs, and then book a focused walkthrough.