Scope and fit
Collecting every available event creates volume without guaranteeing visibility. A use-case-first approach helps teams choose signals that support a real investigation or decision.
Write the question first
For each proposed data source, state what an analyst should detect or investigate and what response action follows. If there is no defined question, defer ingestion until its operational value is clear.
Check event quality and context
Verify actor, target, time, result, environment, and correlation fields with sample events. Identify gaps, duplicate records, and sensitive fields that need filtering.
Assign detection ownership
Name who tunes the rule, tests it, responds to alerts, and reviews false positives. Keep a change record for thresholds and suppression so quieting noise does not suppress meaningful activity.
Decisions and tradeoffs
Use this table as a working review record. Replace assumptions with evidence from the target environment.
| Decision area | Working guidance |
|---|---|
| Write the question first | For each proposed data source, state what an analyst should detect or investigate and what response action follows. If there is no defined question, defer ingestion until its operational value is clear. |
| Check event quality and context | Verify actor, target, time, result, environment, and correlation fields with sample events. Identify gaps, duplicate records, and sensitive fields that need filtering. |
| Assign detection ownership | Name who tunes the rule, tests it, responds to alerts, and reviews false positives. Keep a change record for thresholds and suppression so quieting noise does not suppress meaningful activity. |
Implementation questions
What should the team decide about write the question first?
For each proposed data source, state what an analyst should detect or investigate and what response action follows. If there is no defined question, defer ingestion until its operational value is clear. Use a named owner and a written acceptance check so this decision can be reviewed after deployment.
What should the team decide about check event quality and context?
Verify actor, target, time, result, environment, and correlation fields with sample events. Identify gaps, duplicate records, and sensitive fields that need filtering. Use a named owner and a written acceptance check so this decision can be reviewed after deployment.
What should the team decide about assign detection ownership?
Name who tunes the rule, tests it, responds to alerts, and reviews false positives. Keep a change record for thresholds and suppression so quieting noise does not suppress meaningful activity. Use a named owner and a written acceptance check so this decision can be reviewed after deployment.
Plan, build, verify, operate
Write the question first: For each proposed data source, state what an analyst should detect or investigate and what response action follows. If there is no defined question, defer ingestion until its operational value is clear. Record the result and the next owner before changing the next boundary.
Check event quality and context: Verify actor, target, time, result, environment, and correlation fields with sample events. Identify gaps, duplicate records, and sensitive fields that need filtering. Record the result and the next owner before changing the next boundary.
Assign detection ownership: Name who tunes the rule, tests it, responds to alerts, and reviews false positives. Keep a change record for thresholds and suppression so quieting noise does not suppress meaningful activity. Record the result and the next owner before changing the next boundary.
Deployment checks
Turn the page into a reviewable handover by assigning each check to a person and retaining its result.
Onboard SIEM Data Around Questions Analysts Need to Answer: decision 1
Write down the boundary, owner, dependency, and proof required for onboard siem data around questions analysts need to answer before implementation begins.
Onboard SIEM Data Around Questions Analysts Need to Answer: decision 2
Write down the boundary, owner, dependency, and proof required for onboard siem data around questions analysts need to answer before implementation begins.
Onboard SIEM Data Around Questions Analysts Need to Answer: decision 3
Write down the boundary, owner, dependency, and proof required for onboard siem data around questions analysts need to answer before implementation begins.
Onboard data for a decision
A SIEM use case starts with a decision an analyst can make, not a source catalogue. Write the triggering behaviour, required fields, expected false-positive conditions, response owner, and evidence needed to close the case. MITRE ATT&CK can describe the adversary behaviour behind a detection, but it does not establish that a particular rule is accurate or that every mapped technique is covered.
Before sending a new source into Wazuh or another platform, confirm that it supplies stable timestamps, identities, asset context, and the event details required by the use case. Run a small pilot. Compare known test activity with received events, parsed fields, rule output, analyst search, and ticket flow. If one link is missing, fix it before scaling volume.
Maintain an onboarding record with data owner, transport, parser, retention, access boundary, validation sample, alert owner, and review date. That record makes it possible to retire a noisy source or update a rule after the originating system changes. DeployOpen can assist with the implementation; detection ownership remains with the team that acts on results.
Handover and ownership
Before handover, name the system owner, support path, access boundary, backup or recovery responsibility, and the condition that pauses a change.
Keep a short record of what was tested, what remains outside scope, and when the review should happen again.
