SentinelOne answers one question: is this endpoint compromised? Hilt answers another: is this data movement normal for the identity behind it? Most stacks have a strong answer to the first and nothing for the second. Buyers who treat the two products as rival answers to the same question end up choosing wrongly, because they are not competing. They watch different layers.
SentinelOne is good at its layer. Hilt does not replace it. What follows is where the line falls.
What SentinelOne does well
SentinelOne is autonomous EDR, extended into XDR and cloud workload protection. Its Singularity agent runs on the device, models process behavior, builds a Storyline of what executed and what it touched, and reacts on its own: kill the process, quarantine the file, roll the machine back to a known-good state. The model is local and fast. An endpoint under active attack cannot wait for a cloud round trip.
Against the threats it was built for, this holds up. Ransomware encrypting a drive. Malware injecting into a running process. A credential-stealer spawning an unexpected child process. A legitimate binary doing something it has no business doing. SentinelOne sees the execution and acts on the device, often before a human is in the loop. For that class of threat, this is the architecture you want.
If endpoint compromise is your worry, SentinelOne does the heavy lifting. Hilt does not change that.
The move EDR cannot see
A backend engineer reads from a production data store he is authorized to read. Approved service path. Volumes that look unremarkable one at a time, spread across a week. No malware runs. No process does anything strange. Nothing gets encrypted. The execution graph is clean, because nothing about the execution is wrong.
What is wrong sits underneath the execution: the pattern of the data movement, measured against what that identity normally does.
EDR is organized around the process and the host. It asks whether the binary is behaving maliciously and whether the machine is compromised. That framing is right for malware, and it is exactly why this engineer is invisible to it. Every move was permitted. The pattern across moves is the breach.
This blind spot is structural, and it is not a SentinelOne flaw. Every company moving valuable data across cloud workloads, SaaS, user endpoints, and AI agents has data that leaves on access it granted on purpose. A tool that checks whether an action was permitted lets the action through, because the action was permitted. The danger never lives in a single move. It lives in the shape of the movement.
What Hilt adds
Hilt is runtime Data Movement Governance. One lightweight collector watches data movement at the kernel, metadata only by default, off the path. It does not read content to do this, and it does not need to read your data to see that a pattern is wrong. Content-aware inspection is there when you want it. It is never the price of admission.
Each move resolves to a probabilistic, source-dependent identity: which user or service, which job behind the move, which destination, and whether this fits what that identity has done across months of history. When the engineer above pulls that data, the deviation surfaces across layers at once. The job is unusual for his identity. The access is a sustained read of high-value paths. The destination volume runs high despite the approved channel. One signal alone is noise. Together they are a pattern, and a pattern is a case, not an alert.
SentinelOne builds a behavioral baseline for processes and hosts. Hilt builds one for data movement resolved to identity. They share the endpoint and answer different questions on it.
Response: device-local versus host isolation
SentinelOne acts on the device. It kills processes, quarantines files, rolls an endpoint back. That is the right response to a compromised machine, and it depends on the agent intervening locally.
Hilt never sits inline. The collector watches movement instead of standing in it, so it does not block, drop, or alter traffic, and it is not a single point of failure in your data path. When a case warrants it, Hilt responds with host-level network isolation, quarantine, from the control plane. It cuts the host off at the network so the movement stops, without ever having stood in the path to do it. That is why Hilt runs where heavy inline controls cannot: overhead on the order of 0.1% of one core and 4 to 8 MB of memory per host, single-tenant inside your own cloud, events that never leave your account.
The two responses fit together rather than overlap. SentinelOne contains the compromised endpoint. Hilt isolates the host whose data movement has gone anomalous, including the case where the endpoint is not compromised at all and the identity is entirely legitimate.
Where the line falls
Both products run an agent and both watch behavior, so the boundary is worth stating plainly.
SentinelOne's behavioral model is the process and the host: execution, injection, persistence, file changes, the work a compromised or malicious endpoint does. Hilt's behavioral model is data movement resolved to identity: who moved what, through which job, to where, and whether that shape is normal. EDR is strongest when something is executing that should not be. Hilt is strongest when the execution is clean and the pattern of movement is not.
Hilt does not replace SentinelOne on malware detection, process-level containment, device rollback, or the live fight on a compromised host. If that is your gap, EDR is the answer.
SentinelOne does not model the layer Hilt adds: the slow, permitted, identity-legitimate movement of your most sensitive data through channels you approved, across cloud workloads and user endpoints, scored against how that data normally moves.
Running both
SentinelOne owns is this endpoint compromised, and it owns it well. Hilt owns is this data movement normal for the identity behind it, a question EDR was never built to ask. Two products, two questions, no overlap: one for the host under attack, one for the data that leaves while the host looks fine.
Ask your current stack what a given identity's data actually did, resolved to the job behind it, scored against how it normally moves, through channels nothing flagged because nothing was forbidden. If the stack goes quiet, that silence is the layer Hilt fills.
To see how the runtime data movement layer sits next to an EDR deployment you already run, book a 30-minute call, engineer to engineer, on your own architecture.