Skip to content
Logmetry
What we solve
SIEM and log costClean data for AI agentsCoverage, audit and PIIVendor independenceSIEM migrationObservability modernizationAll problems we solve
Who it’s for
For the CISOFor the CIO and CTOFor the CFOFor Architects
Platforms
SplunkMicrosoft SentinelCrowdStrikeElasticDatadogDynatraceSplunk ObservabilitySolarWindsCriblOpenTelemetryA Data LakeCompare the options
The Blueprint
The whole methodPhase 01 · FoundationPhase 02 · AI triagePhase 03 · RemediationPhase 04 · FootprintEverything as codeAI native
JournalAbout
About LogmetryYour teamTrust and securityStep one and the proofWhere we fit
Book the review

What it changes for youFor the CISO

Detect more. Reduce the risk you carry. And give your AI SOC the data it needs.

Your SIEM sees part of the estate, because the license decides which sources come in, and your AI agents read whatever it kept. A pipeline you control brings the dropped sources back, keeps every detection firing, keeps every log findable for audit, and builds a deduplicated, enriched Lake where your AI SOC and root cause agents work with full context.

Book the architecture reviewRisk down, coverage up ↓

01Risk down, coverage up

More sources in, better detections, nothing lost.

Each one comes with the evidence you can put in front of an auditor or your board, measured on your own data before you commit.

  • 01

    More sources

    Sources dropped to stay under the license come back: identity, endpoint, cloud, network. Only what detection reads is indexed, and everything lands in your Lake, searchable.

    Proof: the sources you add back, by name

  • 02

    Better detections

    Events arrive normalized and enriched with the host’s role, the account’s privilege and the attack technique they can indicate, so rules fire on context. The detections you name are replayed before anything is cut.

    Proof: the same hour replayed, alerts compared

  • 03

    Logs found for audit

    The full raw copy is kept to your policy in storage you own, outside the SIEM’s retention window, and any hour comes back when the auditor asks.

    Proof: the archive policy and a restore

  • 04

    Investigations with the whole history

    When an attack gets through, any hour of any source replays into the SIEM, so the investigation never runs out of evidence.

    Proof: any hour replayed on request

  • 05

    Personal data masked first

    Masking runs in the pipeline, before any event reaches the SIEM, the Lake or a model.

    Proof: masked fields on your live events

  • 06

    No single vendor holding everything

    Your logs live in accounts you own. The next SIEM change is a routing change, run in parallel first.

    Proof: your team holds the keys

02Your AI SOC, at full capacity

A clean Lake your AI SOC can trust.

Every security team is putting AI agents on investigation, threat hunting and root cause. They are only as good as the data they read. The pipeline gives them a controlled, deduplicated, enriched Lake with the full context.

  • Full context

    Investigations you can stand behind

    Each event carries what an analyst would look up: the host, the account, the asset owner, the attack technique. Agents reach confident conclusions across the whole estate, not only across what the SIEM kept.

  • Fewer tokens

    More alerts worked, same budget

    Clean, enriched events cost a fraction of the tokens. Microsoft’s sample Windows logon event is 710 tokens raw and 152 cleaned, in our measurement, so the same AI budget works far more alerts.

  • Control

    Your data, your agents, your rules

    The Lake sits in your account. Agents you choose read it read-only, on models you approve, with a person on every exception, and every pipeline change is reviewed code. The way back is one output setting on each forwarder, then a restart.

How cost appearsCost supports the case. It does not lead it. At least 20% less into your SIEM, every alert kept, proved on your data.

Where we might be wrongIf every source is already in your SIEM, your retention already sits outside it, and no AI SOC is planned, the risk you take off is small and the case rests on cost. We will say so in the review.

03The one path

A free review, then two weeks on your noisiest source.

You see it measured in your own numbers before you commit to anything, and the floor is written into the proof.

  1. Step 1Free

    Free architecture review

    Your SIEM feed drawn from your diagrams, and a sized estimate. No system access.

  2. Step 2Guaranteed

    Two-week proof of value

    Your noisiest source, criteria signed first, measured in your own license usage view.

  3. Step 3

    Source by source

    Typically one to two weeks each, with acceptance criteria agreed in writing before each starts.

At least 20% less into your SIEM, every alert kept, proved on your data.

The proof’s criteria and terms →

04Other readers

The same case, in the order your colleagues read it.

See your architecture drawn, with the costs, before you spend anything.

Our lead architects draw your SIEM feed from your diagrams: where the cost sits, what step one would change, and where it would not pay. If it pays, the next step is a two-week proof on your noisiest source.

Book the architecture reviewOr take the Blueprint as a PDF →

Free. No system access. No obligation. You keep the drawing.

What you get

  • Your architecture today, drawn
  • The waste map
  • Costs before and after, with estimates
  • Your target architecture
  • Options for your business problem

What it costsNothing