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 automated containment so teams can stop exfiltration 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 and prevention 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 automated containment |
| 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, endpoint, and network |
| DSPM | Finds and classifies sensitive data estates | Tells you what exists, not what is leaving | Adds the real-time movement and blocking 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 and wire layers |
What makes Hilt different
1. Kernel-level telemetry instead of user-space reconstruction
Hilt attaches at the syscall boundary with eBPF. 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, endpoint, and network in one movement graph
Most products stop at one domain. Hilt connects workload activity from cloud environments, user and device activity from endpoints, and transfer behavior from the network layer. That lets the system score the full sequence instead of a single isolated alert.
3. Prevention, not only explanation
Buyers evaluating Hilt are usually not looking for another dashboard. They want to shorten time-to-containment. Hilt is designed to block anomalous transfers inline, not just open a ticket after the data has already crossed a boundary.
Who should evaluate Hilt first
Hilt is built for teams where data movement risk is expensive: hedge funds, banks and fintech teams, law firms, and other regulated operators with high-value datasets, high trust requirements, and low tolerance for latency-heavy controls.
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.