Use Cases

Here are the most common ways security teams put CloudPeek to work. Each links to the feature that makes it happen.

Cut through alert overload

The problem: more alerts arrive every day than any team can investigate, spread across ten or more tools.

With CloudPeek: every new alert is pulled in and triaged automatically. The AI reads it, gathers related evidence from your connected tools, scores it, and writes a summary. Analysts open a queue of pre-analysed incidents and spend their time on decisions, not data-gathering. The handful of alerts that actually matter rise to the top.

Investigate faster

The problem: a single investigation means pivoting between many tools, copying indicators back and forth, and reconstructing a timeline by hand.

With CloudPeek: open an investigation, ask your question in plain English, and an AI agent does the pivoting for you, querying each connected tool, correlating the results, and building the timeline. You direct it and make the calls; it does the legwork at machine speed.

Respond consistently

The problem: different analysts handle the same kind of incident differently; steps get skipped; quality depends on who's on shift.

With CloudPeek: capture your standard procedures as runbooks. Triage picks the right runbook automatically and the AI follows it, so every incident of a given type is handled the same way, within the guardrails you set.

Keep humans in control of autonomy

The problem: you want automation, but not a black box that takes actions you didn't sanction.

With CloudPeek: Human-in-the-Loop lets you dial autonomy precisely, from fully automatic, to "approve anything that changes a system," to "approve every step." Autonomous background work is restricted to read-only by design, so the automation observes and reports but never acts on your systems without sign-off.

Build institutional memory

The problem: hard-won knowledge about your environment lives in people's heads and leaves when they do.

With CloudPeek: the Wiki records what's known about every user, host, IP and CVE you encounter, updated automatically as investigations happen. The next analyst, and the AI itself, starts from everything the team already learned.

Operate where the cloud can't reach

The problem: your network is air-gapped, classified, or otherwise disconnected, ruling out cloud-dependent security products.

With CloudPeek: run fully air-gapped with the AI engine hosted inside your environment. You get automatic triage and AI investigations with no external connectivity at all.

Prove what happened

The problem: compliance and governance need a defensible record of every action taken during an incident, and why.

With CloudPeek: every action, human or AI, is recorded with a timestamp and an attributed actor, reviewable and exportable from Audit Logs. See Admin & Settings.

Hunt for what single alerts miss

The problem: the real story is often a pattern across many incidents, not any one alert.

With CloudPeek: Threat Hunting scans across your incidents for repeated patterns, the same user across many incidents, a recurring IP, and surfaces them as leads for an analyst to review.