See the incident, not the noise.

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.

Detect. Correlate. Respond.

From raw logs to a single, ranked incident: every step on one engine.

Raw Logs

12,000 events

Normalization

Structured data

MITRE Detection

48 detections

Risk Scoring

Risk calculated

Entity Correlation

12 findings

One Incident

1 Critical

Reduce noise

From thousands to a few

Detect faster

With MITRE mapped

Correlate smarter

Entities & context

Respond confidently

One clear incident

Less noise. More signal.

Every detection, verdict and behavior signal rolls up into one risk score, so your team works the incidents that matter, with the context already attached.

Risk-based alerting

The five that matter, not the ten thousand that don't.

Per-rule alerts pile up. LogPulse rolls them into a risk score per entity and raises a short queue of notables instead, so nothing important drowns in the noise.

Notablesrisk engine
checkout-svcrisk 92 · critical
10,000 alerts5 notables
AI triage

Every notable arrives pre-investigated.

The AI Investigator gathers the context, weighs true versus false positive and writes the reasoning. You confirm the call and act; you stay in control.

AI verdict
checkout-svc· risk 92True positive · 91%
  • Brute force → success from a new ASN
  • Outbound 2.1 GB to an unknown host
Behavior analytics

Watch risk build before it becomes a breach.

Users and hosts are scored against their own baseline. As signals stack on one entity its risk climbs, and surfaces while there's still time to act.

Risk timeline · db-prod-3
02:14unusual login
02:31privilege escalation
02:58data exportrisk 92

Everything you need to detect and respond

Built on the same LPQL and ClickHouse engine as search, with no separate security data store to feed or pay for.

Effective risk scoring

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.

AI-investigated notables

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.

Detections & MITRE coverage

50+ built-in LPQL detections tagged with MITRE ATT&CK, plus custom rules, Sigma import, and multi-stage sequences, with a live coverage heatmap.

Threat intelligence

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.

Behavior analytics (UEBA)

Impossible travel, first-seen activity, and volume spikes feed the same risk model, so weak behavioral signals combine into real findings.

Automated response (SOAR)

Notify, open a ticket, block an IP, or disable a user, with every destructive action behind a human approval gate and composable into reusable playbooks.

Bring security monitoring onto your logs

Security Monitoring is available on the Business plan. Start free and turn it on when you're ready.

Get started
EU-hosted · AI-evaluated · No separate data store

We use cookies to analyze site traffic and improve your experience. No cookies are placed without your consent. Privacy Policy