Real-time aggregate metrics from our managed SOC operations. Triage velocity, pattern learning, and analyst outcomes shown in one operational view.
Every alert passes through multiple layers of automated and human analysis before action is taken.
Our AI continuously learns what matters. The result: analysts focus only on real threats.
Alerts ingested from every layer of the security stack, unified under one operational view.
AI and analysts collaborate to build an ever-growing library of false-positive patterns, reducing noise automatically.
Every escalated alert receives a thorough investigation. Here is the breakdown of outcomes.
Measured response times from production data. We promise what we deliver, not aspirational targets.
Three reference points for every metric: what a typical SOC delivers, what a strong / best-practice SOC targets, and what CloudRaider actually measures from live production data. For time-based metrics, faster (shorter) is better; for rates, higher is better. CloudRaider figures are the real measured aggregate across all monitored customers.
Month by month, measured from production data. The earliest month is the platform's ramp-up — shown honestly, because the climb since is the point: automation, service levels, and speed all improved as the platform learned.
Definitions differ between sources and are not always directly comparable (e.g. industry "dwell time" measures intrusion-to-discovery, while CloudRaider's acknowledgment time measures alert-to-analyst). Each metric below states what is being measured. CloudRaider values are aggregate, measured figures from production data, refreshed continuously.
Before an analyst sees an alert, our AI pipeline has already identified the user, checked the IP reputation, scanned for cross-customer impact, and pulled prior investigation history.
Known false positives are auto-closed in seconds. True positives arrive on the analyst's screen with full context, ready for action, not research.
Alert ingest over the monitoring period. Spikes indicate active threat campaigns.
Quantifying what automated SOC operations mean in real terms: time saved, cost avoided, and scale achieved.