Ad hoc rules accumulate technical debt and tuning cost.
Splunk Enterprise Security
Ship Splunk ES detections that match your risk priorities
Detection backlogs stall when every rule becomes a debate. Teams need content that is aligned to risk, explainable to leadership, and maintainable by analysts after go-live.
Scoped use cases Tested content Analyst-ready docs Clear acceptance
Why this matters
Why this matters
Delayed or noisy detections leave gaps in coverage and make it harder to prove ES value to auditors and executives.
Without acceptance criteria, “done” means different things to engineering and SOC.
Leadership needs traceability from risk to detection, not just rule counts.
What you get
Clear outputs you can use
Scoped detection engineering for agreed Splunk ES use cases: requirements, development, testing, documentation, and handover to your SOC.
- ✓ Agreed use-case pack with acceptance criteria
- ✓ Production-ready ES content (correlation searches, macros, supporting models as scoped)
- ✓ Detection pack documentation and tuning notes for analysts
Why teams talk to GKC
Calm, practical, and grounded in the environment you already have
Delivery against your data model and risk register — not a generic content dump
Testing evidence for true/false positive behaviour on representative data
Handover designed for your team to own day-2 tuning
What happens next
A straightforward first step
We keep the first step straightforward so you can understand fit, scope, and likely value before deciding what to do next.
1
Define use cases and acceptance
We agree priority scenarios, data dependencies, and what “good” looks like for each detection.
2
Build, test, and peer-review
Content is developed in your ES environment with testing on representative events and analyst review cycles.
3
Hand over with tuning guidance
You receive documented content, tuning notes, and a backlog recommendation for the next wave.
Questions teams often have
Common questions
We bought ES content from Splunk. Isn’t that enough?
Vendor content is a starting point. This work adapts detections to your data, false-positive tolerance, and operating model so analysts can run them daily.
How do you stop scope creeping across “just one more” use case?
Scope is fixed in the SOW by use-case count and complexity tier. Additional cases are change-controlled.
Can you work alongside our internal detection engineers?
Yes. We often pair for knowledge transfer — your team retains ownership of the repo and release process.
Related services
If this is close, these may be relevant too
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Splunk ES Health Check
A bounded review of your Splunk ES deployment: data model fit, content noise, priority use-case coverage, and practical recommendations ordered by risk and effort.
Security and Service Assurance
Detection Tuning
Detection Tuning reviews how detections are behaving today, where signal quality is being lost, and what practical changes would make them more useful.
Splunk Platform
Data Onboarding & Sourcetype Design Accelerator
Accelerated onboarding for agreed priority sources: sourcetype design, parsing, field extraction, CIM alignment, and validation evidence your platform team can maintain.
Next step
Start with a practical conversation
We can talk through the environment, what is making this feel urgent or uncertain, and whether this service is the right fit. If another starting point makes more sense, we will say so.