Some teams cannot send their telemetry to anyone — not their logs, not their security events, and certainly not their prompts. For them, the usual answer is to give up the good tools and make do. 24Observe is open source and self-hostable with an identical contract, so you run the full platform — the same ingest, the same detections, the same AI analyst, the same API — entirely on infrastructure you control. No stripped-down edition, no data leaving your boundary, no lock-in.
A large part of the market has a constraint the typical SaaS pitch quietly ignores: their data is not allowed to leave their boundary. Not as a preference — as a regulatory, contractual, or architectural hard line. For these teams, the entire category of "just point it at our cloud" is off the table before the conversation starts.
The reasons are varied and all legitimate. A regulated business may have data-residency or sovereignty obligations that forbid shipping logs to a third party's region. A healthcare or financial organisation handles information whose exposure is a legal event, not just an embarrassment. A defence or government environment may be genuinely air-gapped, with no path to an external service at all. And increasingly, any team running AI is discovering that prompts and completions can contain anything a user typed or a system returned — which makes sending that telemetry to an outside observability vendor its own data-exposure decision.
Historically, the price of these constraints was the tooling. Teams that could not use hosted services either built their own monitoring out of open-source parts and maintained it forever, or settled for a stripped-down, self-hostable shadow of a commercial product with the genuinely useful capabilities — the good detections, the investigation, the polish — reserved for the cloud tier they were not allowed to use. The constraint that protected their data also condemned them to worse tools. That trade has always been unfair.
24Observe refuses that trade. The platform is open source and self-hostable with an identical contract, which means the version you run inside your own walls is not a community-edition placeholder — it is the same ingest, the same eighty-seven detections, the same AI analyst, and the same API as the hosted product. Even the autonomous investigation can run entirely in-network, pointed at a model endpoint you control. You get the full capability and your data never leaves, which until now you were told you had to choose between.
And because it is the same codebase rather than a forked lesser edition, you do not fall behind: what ships to the hosted platform is what you run, updated on your own schedule. The constraint stops being a tax on your tooling and becomes simply a deployment choice.
The teams who most need good observability and security are often the ones forbidden from using hosted tools. The fix is a real platform that runs entirely inside their walls — not a hobbled edition of one.
The defining promise is "identical contract" — everything the hosted platform does, running where you can prove your data stayed.
Same ingest, same 87 detections across 14 packs, same correlation and threat intel, same API — not a stripped community edition. SIEM →
Autonomous investigation runs in your deployment, pointed at a model endpoint you choose — even your own — so no investigation data leaves. The analyst →
Ingest, storage, detection, and investigation all run inside your perimeter; prompts, logs, and security events stay on infrastructure you control.
Built on widely-used open-source infrastructure with a documented, container-based deployment — nothing exotic to license. Self-host guide →
Suitable for genuinely isolated environments with no path to an external service — the whole system can run with no outbound dependency.
Open source with an identical contract means the choice is reversible and the vendor relationship is a convenience, not a trap.
The reason most "self-hostable" products disappoint is that the self-hosted edition is deliberately worse — the valuable capabilities are held back to push you to the cloud. Identical contract means the opposite: the API, the data model, the detections, and the behaviour are the same whether you run it hosted or in your own data centre. Code you write against one runs against the other; a runbook for one works for the other. You are choosing where it runs, not which version of the product you are allowed to have.
Even teams that are comfortable with hosting today value knowing self-hosting is always available, because it neutralises the two fears that make vendor selection stressful: a future price shock and a future change of direction you do not control. With an open-source platform you can take in-house, the vendor relationship is a convenience you keep because it is good, not a trap you cannot leave. That optionality has value even if you never exercise it.
The newest and sharpest reason to self-host is AI. The analyst is the platform's most powerful capability, and for a compliance-bound team a hosted AI feature that processes their data is often simply forbidden. Running the analyst in your own deployment, pointed at a model endpoint you control — including one you host yourself — puts autonomous investigation within reach of teams who could never use it as a cloud service. Your most sensitive data gets the benefit of AI triage without any of it leaving your network.
Self-hosting does not mean giving up the safeguards. Redaction still strips secrets before storage, tenant isolation still holds, and the full audit trail still records who did what. You are adding the strongest possible data-control guarantee — it physically stays with you — on top of the platform's existing security properties, not trading one for the other. For the teams who self-host, that combination is exactly the point.
The kind of organisation the hosted-only market leaves behind — and how an identical-contract self-host puts the full platform back within reach.
Picture a team in a regulated environment — finance, healthcare, government, it does not matter which — whose obligations are unambiguous: customer data and operational telemetry must remain within their controlled infrastructure. They want exactly what every other team wants: monitoring that tells them when something breaks, a SIEM that catches threats, and an analyst that investigates incidents. And they have been told, repeatedly, that the good versions of those things are hosted services they are not permitted to use.
Their usual options are both bad. They can assemble open-source parts into a homemade stack and own its maintenance forever, never quite reaching the capability of a real product. Or they can adopt the self-hostable edition of a commercial tool, only to find the detections are thin, the investigation is cloud-only, and the features that would have actually helped are precisely the ones reserved for the hosted tier. The constraint that protects their data has, as usual, sentenced them to worse tooling.
With 24Observe they deploy the full platform inside their own perimeter. It runs on standard components they already know how to operate, following the documented deployment path, with no exotic licensing underneath. From the first day they have the same ingest, the same eighty-seven detections, the same correlation and threat intelligence, and the same API as the hosted product — because it is the same product. Their logs, their security events, and their telemetry never touch an outside network.
The capability that would normally be off-limits — autonomous investigation — runs too. The analyst operates inside their deployment, pointed at a model endpoint they control, so even the AI triage processes their data without any of it leaving. The most compliance-sensitive team in the building gets the same investigated-incident experience as a startup on the hosted free tier, with a data-control guarantee they can demonstrate to an auditor: it physically stayed here.
And the decision is not a one-way door. Because the contract is identical, they could move to hosted later if their posture changed, or run a hybrid, without rewriting anything. The thing they were told they had to give up to keep their data — a real, modern, AI-native platform — they did not have to give up at all. That is what self-hosting should mean, and for the teams who need it, it changes what is possible.
The broader shift worth naming is that data-control requirements are spreading, not receding. Privacy regulation is tightening across jurisdictions, data-residency expectations are becoming contractual defaults rather than exceptions, and the arrival of AI has made every team think harder about where their most sensitive content goes. The population of organisations for whom "send us your data" is a non-starter is growing, and growing fastest in exactly the areas — regulated industry, the public sector, AI-heavy products — where the need for good observability and security is most acute. Self-hosting is not a legacy concession; it is an increasingly mainstream requirement.
Which is why building the platform to run identically in your perimeter is a deliberate stance, not an afterthought. A product that treats self-hosting as a second-class path quietly tells those organisations they do not matter; one that runs the full capability inside your walls says the opposite. For a team weighing this decision, the practical takeaway is simple: you do not have to choose between keeping your data and having a modern, AI-native platform to reason over it. You can have both, the technical path is documented, and the choice remains yours to revisit. Start with the self-host guide when you are ready to see exactly how it goes together.
One more reassurance worth stating, because it is the question every self-hosting team eventually asks: what happens if our needs change? With an identical-contract platform, the answer is "nothing painful." Because the API, the data model, and the behaviour are the same hosted or self-hosted, you can move between them, run a hybrid, or hand operation back and forth without rewriting integrations or retraining your team. Self-hosting here is a deployment choice you can reverse, not a fork you commit to — which means the decision carries far less risk than the usual all-or-nothing self-host bet, and you can choose it for the reasons that matter today without fearing the reasons that might matter tomorrow.
Run the same ingest, detections, and AI analyst entirely inside your own perimeter — identical contract, nothing leaving your network, no lock-in. The technical guide walks you through it.