Detection Engineering
Detection and Tuning Notes
Write practical detection notes, false-positive notes, tuning recommendations, and collection-gap observations from the SOC lab.
Domain alignment
Detection Engineering
SIEM Operations
What this lesson covers
- Writing practical detection notes
- Identifying false positives and expected activity
- Documenting collection gaps
- Separating tuning ideas from immediate changes
- Creating a simple detection backlog
Step 1: Pick an alert or missing alert
Detection notes can be written for alerts that fired or for expected activity that did not produce useful visibility.
Detection note types: - Alert fired and was useful - Alert fired but was noisy - Alert fired but severity felt wrong - Expected activity did not appear - Activity appeared but lacked context
Step 2: Write the detection note
Detection note: Event or behavior: Endpoint: Rule ID: Rule description: Severity: Was this expected? yes/no Was the alert useful? yes/no What context was missing? False positive reason if applicable: Recommended tuning: Risk of tuning too aggressively: Owner: Status:
Step 3: Classify the finding
Keep: The alert is useful as-is. Tune: The alert is useful but needs filtering, grouping, severity adjustment, or documentation. Investigate: The alert may represent real suspicious behavior. Improve collection: The issue is not the rule. The sensor is not collecting enough context. Document only: The behavior is expected lab activity and does not need a change.
Step 4: Build a small backlog
Detection backlog item: Title: Source endpoint: Problem: Recommended change: Expected benefit: Risk: Priority: Next action:
Step 5: Do not tune blindly
In a real SOC, tuning can reduce noise, but it can also hide important behavior. Every tuning decision needs a reason and a rollback path.
Bottom line:
Detection engineering starts with observation. Capture what fired, what did not fire, what context was missing, and what change would make the signal better.
Check your understanding
- Why can a missing alert be a useful detection note?
- Why should tuning recommendations include risk?
- What is the difference between tuning and improving collection?
- Why should expected lab activity still be documented?