Data detection and response is a young category, and young categories attract loose language. A dozen vendors now describe themselves as DDR. They do very different things. Some classify data at rest and call the inventory "detection." Some watch cloud API logs and call the lag "response." A few actually observe data as it moves. The word on the label tells you almost nothing.
This is a problem when you are buying, because the threat all of these tools claim to address has a specific shape, and most of the architectures on the market do not match it.
Start with the shape of the threat, then judge the tools against it.
The threat every DDR tool claims to cover
Your most valuable data leaves on access you granted on purpose. The researcher has permission to read the model weights. The integration has permission to call the customer table. The contractor has permission to pull from the repository. No rule is broken when the data moves, because every one of these moves is permitted.
The danger is not in any single move. It is in the pattern across moves: the same identity, doing a permitted thing, at an unusual hour, in an unusual volume, toward an unusual destination, over a window. Each action passes every check. The sequence is the breach.
This is the question a DDR tool exists to answer. Hold every vendor to it. The useful distinctions between them are not feature lists. They are four architectural choices: where the tool watches, what it resolves a move to, how it responds, and what it costs you to run.
Vantage: where the tool actually watches
The first question, and the one most marketing pages blur, is what the tool can see.
Many products labeled DDR read cloud provider logs. CloudTrail, audit logs, SaaS activity feeds. This is real signal, and it is genuinely useful for reconstructing what happened across accounts. But it arrives after the fact, often minutes late, and it only shows the moves the cloud control plane chose to record. A copy from one local path to another, a read into memory, a transfer over a channel the log does not cover, none of it appears.
Another set classifies data at rest. They scan stores, tag what is sensitive, and tell you where your regulated data lives. This is data discovery, and it answers "what do I have and where." It does not watch anything move. A discovery tool that adds a few activity alerts is still, structurally, an inventory.
The vantage that matches the threat is runtime, at the kernel, while the data is in motion. Hilt watches data movement at the kernel, the one place where a move is visible as it happens regardless of which application or channel carries it. When you compare vendors, ask plainly: does this watch the move as it occurs, or reconstruct it afterward from a log someone else decided to write. Both have a place. Only one sees the pattern in time to act on it.
Identity: what a move resolves to
A raw event is close to useless. "A 4 GB transfer occurred" tells you nothing about whether to care. The value is in what the tool can attach to that event.
The weakest tools give you an IP address and a byte count. The next tier gives you a user or a service account. What actually lets you judge a move is the full resolution: which identity, which job behind it, which destination, and whether this fits what that identity normally does.
Hilt resolves each move to a probabilistic, source-dependent identity and scores it against a baseline of how that identity's data normally moves. The word probabilistic is deliberate, and it is a fair thing to press a vendor on. No tool resolves every move to a certain identity; the honest ones tell you the resolution is an inference with a confidence, and the dishonest ones imply omniscience. Ask how a vendor handles the move it cannot fully attribute. Ask whether the baseline is per identity or one global threshold for the whole estate, because a single threshold drowns a busy account and misses a quiet one.
The test is whether the tool can say not just "this happened" but "this is unusual for this identity, and here is why." That sentence is the difference between an alert and a case.
Response: what the tool does about it
This is where the category's name gets stretched hardest. "Response" ranges from sending an email to standing inline and dropping packets, and those are not close to the same product.
Inline tools sit in the path of your traffic and can block a move outright. That is a real capability with a real cost: latency on every flow, and a new single point of failure between your data and where it needs to go. For some environments the tradeoff is worth it. For latency-sensitive infrastructure it is a non-starter, and the team that owns that infrastructure will not let a security agent stand in the path.
Hilt takes a different position on purpose. The collector stays off the path. It never sits inline, and it does not block, drop, or alter traffic. When a pattern warrants action, Hilt responds with host-level network isolation, quarantine, from the control plane: it cuts the host off rather than filtering the flow. The move is observed, not intercepted.
When you compare vendors, separate two claims that often get bundled. One is "we can stop a move." The other is "we add no latency and no failure point to your traffic." A tool that does the first usually cannot promise the second, and a tool that promises the second is telling you it stays off the path. Decide which property your environment actually needs before you let a demo decide for you.
Footprint: what it costs to run
The last question is the one that determines whether a tool survives contact with your fleet. A DDR agent that consumes meaningful CPU or memory per host will be fought by every team that owns those hosts, and rightly. Heavy agents get scoped down to a subset of the estate, and a tool that only covers part of the fleet has a hole exactly where an attacker will go.
Ask for the per-host resource numbers in writing. Hilt runs off the path at roughly 0.1% of one core and 4 to 8 MB of memory per host. Those are checkable figures, and you should expect any serious vendor to give you checkable figures rather than "lightweight" and "negligible." If a vendor will not put a number on it, that is the answer.
Footprint also includes where your data goes. Some DDR products route events through the vendor's own cloud to do their analysis. For regulated industries, that is its own exposure. Ask whether the system runs single-tenant inside your own cloud, AWS, GCP, Azure, or Ali Cloud, and whether your events ever leave your account. With Hilt they do not.
Where Hilt fits, and where it does not
Hilt is the runtime layer. It watches the move at the kernel, resolves it to an identity, surfaces the dangerous pattern as a written case, and isolates the host at the network. That is a specific job, and it is the job most products wearing the DDR label do not actually do.
It is also not everything. A discovery tool that maps where your regulated data lives is doing useful work Hilt does not replace; knowing what you have is a real input. A log-based tool gives you cross-account history that is valuable for investigation after the fact. An inline gateway that your environment can tolerate gives you a hard stop Hilt does not provide, because Hilt chose the off-path tradeoff. The honest comparison is not "which one wins." It is which layer you are missing.
If the layer you are missing is the runtime one, the move as it happens, resolved to the job behind it, scored against how your data normally moves, then the questions above are the ones that separate a real answer from a relabeled inventory.
If you want to walk through where Hilt sits against the specific tools on your shortlist, the fastest path is a 30-minute call, engineer to engineer, with the numbers in front of both of us.