The Great Escape
A clearer path to a faster, more open SOC
Break free from rising costs, slow investigations, and the limits of legacy SIEM. Elastic Security gives your SOC the speed, visibility, and flexibility to move forward, with Elastic Services providing a clear, controlled path from Splunk.

THE COST OF STANDING STILL
Legacy SIEM comes at a cost
Productivity, resilience, and scalability all take the hit.
Fragmented visibility
Siloed security data makes it harder to see attacks in context.
Slow investigations
Slow searches and disconnected workflows delay triage, investigation, and response.
Unpredictable costs
Growing data volumes and retention make security spend harder to predict.
Skills stretched thin
Manual administration pulls specialist time away from higher-value security work.
Plan your escape
Connect with Elastic Services today
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ELASTIC IN PRACTICE
The destination, proven at enterprise scale
Organisations are using Elastic to handle more data, accelerate security operations, and reduce the resources needed to run them.

Minutes to seconds
per-fire triage time4 automated pipeline stages — the first of its kind

6 billion events per day ingested
~5,000 analyst hours reclaimed per year

5-minute MTTR
60% compression

73 million events
monitored every hour2.5 FTEs
to protect and administer the environment
Frequently asked questions
Do we need to migrate everything in our Splunk environment?
Do we need to migrate everything in our Splunk environment?
No. Migration starts with understanding what actually matters.
Elastic Services helps build a full inventory of rules, dashboards, alerts, pipelines, and data sources. From there, teams can identify what is critical, what can be simplified, and what can be retired.
The final scope is defined by your environment and priorities — not a one-size-fits-all approach.
What happens to our Splunk rules and dashboards?
What happens to our Splunk rules and dashboards?
Supported rules and dashboards can be translated into Elastic using built-in migration capabilities.
Automatic Migration converts SPL-based rules into ES|QL and maps them to Elastic detection content where possible. Complex or custom logic can be reviewed and refined with support from Elastic Services.
How is detection coverage validated before cutover?
How is detection coverage validated before cutover?
Migration includes validation before go-live.
Converted content is tested against agreed use cases, with side-by-side verification where needed. Detection logic can be reviewed, traced, and approved before cutover, with rollback plans in place.
Can Splunk and Elastic run in parallel during migration?
Can Splunk and Elastic run in parallel during migration?
Yes. Many migrations are phased, with both platforms running during transition.
Elastic Services helps manage this overlap, including planning timelines and reducing the operational and cost impact where possible.
How much effort is required from our internal team?
How much effort is required from our internal team?
The level of involvement depends on your environment.
Elastic Services can support architecture, data ingestion, content migration, testing, and enablement. Your team remains focused on priorities, validation, and decision-making — not the full migration workload.
How are scope, cost, and timelines defined?
How are scope, cost, and timelines defined?
These are established after assessing your current environment.
Elastic reviews data volumes, dependencies, architecture, and complexity to define scope and effort. Any fixed-fee engagement is based on agreed deliverables and validated requirements.
How will our teams be prepared to operate Elastic?
How will our teams be prepared to operate Elastic?
Enablement is part of the migration.
Elastic Services provides training, working sessions, runbooks, and knowledge transfer to help teams operate Elastic confidently after go-live.
Where does DIMA fit into the process?
Where does DIMA fit into the process?
DIMA helps make the migration path visible.
It supports discovery, analysis, conversion, and validation of existing Splunk content, helping teams understand effort, scope, and risk before committing to the move.
