SIEM optimization and SIEM migration without losing detection
We reduce SIEM cost and noise on the platform you have today, and when it's time to move, we migrate sources, parsers and detections with a parallel run that keeps your SOC covered.
What we deliver
SIEM health check & cost audit
Source-by-source analysis of ingestion volume, cost and detection value, with a prioritised plan of quick wins.
Licence & architecture right-sizing
Right-size licences, indexes, retention and compute so you pay for detection value, not raw volume.
Migration planning
Source inventory, use-case mapping, data-model mapping and a cutover plan with measurable success criteria.
Detection & content translation
Translate rules, dashboards and playbooks between SPL, KQL, AQL, EQL and YARA-L, validated against test data.
Parallel run & cutover
Run old and new platforms side by side via a pipeline layer, compare detections, then cut over with confidence.
Post-migration optimisation
Tune the new platform, decommission legacy cleanly and hand over documentation and runbooks.
Related platform pages: Migration to Elastic Security · Elastic solutions & licensing · OpenSearch solutions & services · Observability optimization · Migration to Elastic Observability
We work closely with and support both MSSPs and Enterprises
Whether you're consolidating customer SIEMs or replacing a legacy platform, we migrate with a pipeline-first approach that removes risk and future lock-in.
For MSSPs, MDRs & SOC providers
- Consolidate customer SIEMs onto a standard platform
- Migrate tenants in waves with no gaps in monitoring
- Rebuild per-customer content on the new platform at scale
- Improve gross margin through right-sized ingestion
For Enterprises & GCCs
- Cut SIEM spend 30–70% through ingestion and licence optimisation
- Move from Splunk or QRadar to Sentinel, Elastic or Google SecOps safely
- Keep detection coverage measurable throughout the migration
- Avoid future lock-in with a vendor-neutral pipeline layer
From first call to measurable outcomes
Discovery call
45 minutes on your environment, pain points and goals. No commitment.
Current-state assessment
Sources, volumes, cost, detections and bottlenecks, delivered in 2–4 weeks.
Proof of value
A scoped, time-boxed proof of value with agreed success criteria.
Delivery & handover
We engineer, test, document and transfer knowledge to your team.
Frequently asked questions
How long does a SIEM migration take?
Most migrations take 8–20 weeks depending on the number of sources, detections and tenants. A pipeline layer lets us run both platforms in parallel to de-risk cutover.
Can you migrate from Splunk to Microsoft Sentinel or Elastic?
Yes. We migrate sources, parsers, detections (SPL to KQL or EQL), dashboards and playbooks, and validate parity before cutover.
How do you reduce SIEM costs without losing detections?
We measure the detection value of each source and field, remove or reroute low-value data through a pipeline, and right-size licences and retention. Typical savings are 30–70% of ingestion.
Do you optimize existing SIEMs without migrating?
Yes. Many clients start with a SIEM health check and cost audit on their current platform and only migrate if the business case supports it.
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Explore →Talk to a security data engineer
A focused 45-minute discovery call on your log sources, volumes, SIEM and detection goals. No sales pitch: just a direct conversation about whether we can help.