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Move SIEMs. Keep the pipeline.

Fleak connects each source once, normalizes it, and ships it to the old SIEM and the new one at the same time, each in the format it expects. Run both, prove parity, and cut over one source at a time.

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  • Splunk
  • Microsoft Sentinel
  • Google SecOps
  • Palo Alto XSIAM
  • CrowdStrike NG-SIEM
  • Elastic

6mo → 1wk

Time to onboard a source

vs. hand-built parsers, so the new SIEM fills fast

60–80%

SIEM ingest reduction

only signal-worthy event types reach the new SIEM

< 3 min

Mean heal time

when a source drifts in the middle of the migration

SIEM migrations stall on the data,
not on the platform.

The new SIEM is ready in weeks. Re-onboarding a hundred sources into it takes quarters, and the old contract keeps billing while you do it.

Every parser, rebuilt

Splunk add-ons, Sentinel connectors, and Google SecOps parsers each expect their own field names. Migrating means re-parsing every source for the new platform.

Two bills, one SOC

A parallel run doubles ingest for months. Most teams cut the overlap short and switch over before they have proof.

No parity, no confidence

Without the same events in both platforms, nobody can show the new SIEM sees what the old one did. The gaps surface during an incident.

Dual-ship every source,
cut over on your schedule.

Fleak sits between your sources and every SIEM you run or evaluate. Each feed is collected once, normalized once, and delivered to every destination in the shape it expects.

Collect once, deliver twice

Fork each source to the current SIEM and the new one from a single ingestion stream. No second collection tier, no duplicate agents.

Each SIEM in its native format

Splunk keeps the fields its searches expect. Sentinel gets ASIM, Google SecOps gets UDM, XSIAM and NG-SIEM get their own formats, all from the same event.

Bake off on real data

Before you sign, route live production data to two or three candidate SIEMs in their native formats and compare them on your own events.

Cut over source by source

Move one source at a time by changing its route. Rolling back is a route change too, not a pipeline rebuild.

Backfill the new SIEM

Replay history from your archive into the new platform, normalized, so detections and hunts have the months of data they need on day one.

Pay for the overlap once

During the parallel run, send detection-worthy event types to the new SIEM and land the rest in your lake at object-storage prices.

Migration content packs

Prebuilt mappings translate QRadar, ArcSight, and Splunk on-prem formats into Sentinel, Google SecOps, and Splunk Cloud schemas.

History that moves with you

Archive history in open Parquet in your own cloud storage, queryable by whichever platform comes next.

Zero downtime, no re-pointing

Sources keep flowing through the whole migration. No collector is re-pointed and no event is lost at cutover.

Run both SIEMs on the same events.

End the parallel run when the evidence says so, not when the old contract does.

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A migration plan
that starts with the data.

01 / Connect sources once

Route each source through Fleak. The current SIEM keeps receiving exactly what it receives today.

02 / Fork to both SIEMs

Add the new SIEM as a second destination in its own format and backfill its history from the archive.

03 / Prove parity

Run detections in both platforms on the same events and compare them source by source before anything is switched off.

04 / Cut over and trim

Retire the old route one source at a time. Send the long tail to the lake instead of the new SIEM.

The Brain plans.
The Muscle ships both.

The Brain generates the mapping for each destination once. The Muscle executes it deterministically on every event, so the old SIEM, the new SIEM, and the lake all receive the same event in their own shape.

Migration paths

  • Splunk → Microsoft Sentinel
  • Splunk → Google SecOps
  • QRadar → Palo Alto XSIAM
  • Splunk → Databricks
  • Any SIEM → SIEM + lake

Splunk to Microsoft Sentinel. Week one.
Where does each event go?

Splunk

Current

Keeps receiving every source it gets today, in the fields existing searches and dashboards expect.

Microsoft Sentinel

Parallel

Receives the same events in ASIM, plus a backfill from the archive, so detections are validated on live data before cutover.

Data lake

Full fidelity

Takes the high-volume telemetry neither SIEM needs in the hot path, at object-storage prices.

Sources move one at a time. Rolling back is a route change. Nothing about the old SIEM changes until you decide it should.

"Normalize once, and the SIEM becomes a destination you can change instead of a platform you have to migrate off."

SIEM migration · Fleak Platform

Bring your migration source list.

30-minute working session. We'll take one source and show it landing in both SIEMs' formats.

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Explore Related

SIEM evaluation

Evaluate SIEMs on your own data

Every candidate fed the same live events.

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Security data lake

OCSF tables in your lake on arrival

Databricks, Snowflake, BigQuery, ClickHouse, and S3.

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Observability

Observability that scales with value

Logs to metrics, trace sampling, cost per team.

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