LogPulse turns your existing log estate into a full SIEM on one engine. Detections, AI verdicts, and behavior analytics converge on a risk-based model that raises a handful of high-confidence notables instead of a flood of per-rule alerts.
Built on the same LPQL and ClickHouse engine as search — no separate security data store to feed or pay for.
Every entity carries one bounded 0–100 risk score that rewards attack breadth across MITRE stages and saturates repetitive noise. Promotion is one threshold on one number.
Each notable is auto-investigated by an LLM that triages and closes false positives before a human sees them, then opens as a workspace with notes, evidence, and escalation.
50+ built-in LPQL detections tagged with MITRE ATT&CK, plus custom rules, Sigma import, and multi-stage sequences — with a live coverage heatmap.
Free IOC feeds plus the Spamhaus DROP and ASN-DROP blocklists enrich every risk event and tag notables with the match, so known-bad infrastructure stands out.
Impossible travel, first-seen activity, and volume spikes feed the same risk model, so weak behavioral signals combine into real findings.
Notify, open a ticket, block an IP, or disable a user — every destructive action behind a human approval gate and composable into reusable playbooks.
Security Monitoring is in private beta. Tell us about your environment and we'll enable it for your organization.
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