Secloop builds agentic AI systems — custom language models, retrieval over your own documentation, and automation that actually takes action — so routine helpdesk tickets, network faults and security alerts get resolved without waiting on a person who's already stretched thin.
Built for teams that don't have twenty analysts — and never will.
Telemetry from endpoints, network devices, the ticket queue and your existing tools lands in one place.
An LLM grounded in your runbooks, past tickets and topology works out what's actually happening — and what usually fixes it.
Agents execute the fix inside guardrails you define: reset, isolate, restart, escalate, or draft the reply for approval.
Every outcome — accepted, corrected or overridden — feeds back so the next run is a little sharper.
Password resets, VPN failures, printer mappings, onboarding requests. Work that requires no judgement is consuming people you hired for judgement.
Your tools generate more signals in a night than your team can triage in a week. So thresholds get raised, and the real one hides in what you stopped looking at.
A 24/7 operation needs roughly five to six full-time staff per seat. Most mid-market IT teams will never be funded for that. The gap is real, and it is where incidents live.
Most "AI features" summarise a problem and hand it back to you. That saves reading time, not work. Secloop is built around agents that carry a task to completion — with a hard boundary around what they're allowed to do on their own, and a full record of everything they did.
Agents that plan, call your systems, verify the result and retry — rather than producing text and stopping.
Answers drawn from your runbooks, past tickets, config and vendor docs — with the source attached, so answers can be checked rather than trusted.
Fine-tuning, adapters and evaluation on your own data, so the model speaks your environment's language instead of the public internet's.
Engagements usually start with one painful, repetitive workflow and expand from there. Everything below can be delivered as a project, a managed service, or both.
We map a workflow your team repeats daily, then build the agent that runs it — end to end, with approvals where you want them.
Off-the-shelf models don't know your naming conventions, your escalation policy or your legacy switch stack. We teach them.
Turn scattered documentation, wikis and closed tickets into something your team — and your agents — can actually query.
Visibility and control across laptops, servers and mobile — with AI triage sitting on top of the detections so alerts arrive pre-investigated.
Continuous monitoring of traffic, devices and performance, with models that learn what normal looks like on your network specifically.
If you'd rather not run it yourself, we operate the loop for you and report on what it handled, what it escalated and why.
Each runs standalone. Together they share context — so the helpdesk agent knows the network agent just failed over a link, and stops guessing.
An autonomous NOC that watches your network continuously, works out what a fault actually is, and either fixes it or hands your engineer a diagnosis instead of a graph.
A service-desk agent that resolves the repetitive half of your queue itself — grounded in your own documentation, so it answers the way your team would, and says "I don't know" when it doesn't.
Alert triage that happens whether or not anyone is awake. Every detection is investigated, enriched and classified before it reaches a human — so what reaches you is worth your attention.
The custom tier. When the workflow eating your team's week doesn't match anything off the shelf, we build the agent for it — on the same platform, with the same guardrails and audit trail.
We don't ask you to bet a transformation programme on an unproven vendor. We ask for one workflow and a few weeks — and we agree up front on the number that decides whether it worked.
Thirty minutes on where the time actually goes. If we don't think we can help, we'll say so.
A single high-volume workflow, in your environment, measured against how it runs manually today.
Resolution rate, escalation rate, time saved. The success criteria are set before we start, not after.
If it worked, we add the next workflow. If it didn't, you've lost weeks — not a year and a budget line.
Cloud, your own cloud tenancy, or fully on-premise using open-weight models — for environments where data cannot leave the building. We'll tell you honestly what each option costs you in capability.
Every agent action is scoped, logged and reversible. You define the line between what runs autonomously and what waits for a human — and you can move that line as trust builds.
We're not asking you to replace your EDR, your ITSM or your monitoring stack. Secloop sits on top of the tools you've already paid for and makes them act.
There's a working product and a live demo. Thirty minutes and you can decide for yourself whether the agents do what this page says they do.
Our founding team's background spans security and network operations and applied machine learning — people who have carried a pager and people who have shipped models, in the same room.
We won't quote you a percentage from someone else's marketing deck. We'll baseline your current process and report what changed against it.
Enterprise tooling assumes an analyst pool to operate it. Everything we build assumes the opposite — that nobody is free to babysit it.
Plain status, so you can calibrate. We'd rather you find out here than three calls in.
Send us the workflow that keeps coming back — the ticket type, the alert that always turns out to be nothing, the process that takes four people and a spreadsheet. We'll tell you straight whether it's a good fit for automation, and what it would take.
info@secloop.aiWe read every message and reply personally. No sequence, no drip campaign.