DNS Use Case

DNS is the #1 protocol attackers depend on — C2 callbacks, data exfiltration tunnels, DGA domains, reconnaissance. Every attack touches DNS. But most orgs can't afford to watch it.

A mid-size org generates 100K+ DNS queries per second. At per-GB SIEM pricing, full DNS ingestion is a budget killer. So teams drop it, sample it, or send only blocklist hits. They're 90% blind to their most critical data source.

What gets through is matched against static blocklists — known-bad domains that are always behind. DGA, DNS tunneling, slow beaconing, and first-seen domains sail right past.

How spotr.io Does It

Full DNS stream, every query, no sampling. Detection happens on the stream — no storage cost for detection. The full hierarchy runs against DNS: blocklists for known-bad, thresholds for volume anomalies, anomaly models for DGA and tunneling patterns, behavioral baselines for beaconing detection.

The AI SOC Analyst correlates DNS signals with process, user, and network context — "this host resolved a first-seen domain, then initiated an outbound connection on a non-standard port" becomes one signal, not two disconnected events.

The Conversation

"Are you ingesting your full DNS stream into your SIEM?" — Almost nobody is.

"How are you detecting DGA or DNS tunneling today?" — Most aren't.

"What if you could watch every DNS query in real time without blowing your SIEM budget?" — That's spotr.io.