Data Movement Governance

Data movement governance for real-time data exfiltration prevention.

Hilt is a data movement governance platform that detects and blocks unauthorized data movement across cloud, endpoint, and network environments in real time. It combines kernel-level telemetry, cross-domain correlation, and automated containment so security teams can stop exfiltration instead of reconstructing it after the fact.

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

CategoryWhat it does wellWhere it breaks downHow Hilt fits
DLPEnforces content policies on known channelsMisses behavioral abuse, custom binaries, and unsanctioned pathsAdds runtime detection and prevention when the behavior is wrong, even if the permissions look normal
DDRReconstructs how tracked data movedUsually depends on user-space telemetry and manual responseAdds kernel-level visibility and automated containment
Insider risk / UEBASurfaces risky users and anomalous behaviorOften stays endpoint-centric and alert-drivenConnects behavior to the actual data movement across cloud, endpoint, and network
DSPMFinds and classifies sensitive data estatesTells you what exists, not what is leavingAdds the real-time movement and blocking layer
CASB / SSEEnforces policy on sanctioned cloud channelsSees only the paths that traverse the proxy or API integrationAdds 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.

FAQ

Common questions about this page

How is Hilt different from DLP?

Hilt focuses on runtime behavior and data movement rather than only content rules on known channels. It is designed to catch anomalous transfers even when a user or service technically had permission to access the data.

Who should evaluate Hilt first?

Hilt is best suited for security teams in regulated or performance-sensitive environments that need faster containment for insider risk, exfiltration, and runtime data movement.

Where should a buyer start?

Most buyers should start with a direct alternative page like Cyberhaven or DTEX, then move into the category comparison hub and the product feed pages that match the highest-risk layer in their environment.