How it plays out in practice
Six situations security teams actually face, and what urgentic does in each. These are worked examples using representative environments — not accounts of named customers.
These scenarios are illustrative. Each one describes how urgentic’s agents behave in a situation of that shape, using a representative environment rather than a named customer. Figures marked as modelled are derived from the platform’s measured investigation performance, not from a specific deployment. Where we can point to a real, named customer, we will say so plainly.
A large bank runs a hybrid estate across on-premise and cloud, generating tens of thousands of alerts a day. Analysts triage the loudest ones and the rest age out untouched. urgentic investigates every alert end to end — pulling identity, endpoint and network context, correlating activity, and producing a written finding — so nothing is closed unexamined because the queue was too long.
A ransomware precursor lands at 2am on a Saturday, when a small in-house team is asleep and the on-call rota is one person. urgentic triages the alert, traces the execution chain, checks the account against recent identity activity, and recommends isolation with the evidence attached — before anyone is woken up. The team wakes to a completed investigation rather than an incident.
A growing MSSP cannot take on more customers without hiring analysts it cannot find. Investigation is the bottleneck — every new tenant adds queue depth, not just revenue. Because urgentic investigates autonomously per tenant, capacity stops being a function of headcount, and analysts move to the judgement calls that actually need a human.
Plant networks and corporate IT are monitored by different tools that do not talk to each other, so an attack that crosses the boundary is seen twice and understood once. urgentic investigates across both, correlating an OT anomaly with the corporate identity event that preceded it, and produces one narrative instead of two disconnected alerts.
A three-person security team faces the same adversary classes as an organisation ten times its size. Depth of analysis, not alert volume, is the constraint — properly unpicking a suspected nation-state TTP takes days they do not have. urgentic applies the same investigation depth to every alert regardless of who is on shift, so capability stops depending on headcount.
An open network with tens of thousands of transient users, protected by a security team of a handful of people on a budget that will not stretch to an enterprise SOC contract. urgentic provides autonomous investigation at a price point built for organisations of this size, which is the difference between having coverage and going without it.
See it run against your own alerts
The fastest way to judge urgentic is to point it at your environment. Book a demo and we will show you what it does with your data.