Compare the signal with the expectation. A detection exercise is useful when its expected evidence is clear: record observations for this fictional scenario and export a local worksheet.
Why this matters. Coverage is only as good as the evidence behind each stage. The worksheet keeps missing telemetry and missing detection apart.
These examples contain no client evidence. Changing an observation records your selection; it does not run a test or measure a real environment. Keep private system details out of the example notes.
Choose the exercise
Changing scenarios clears the current observations and notes.
A fictional administrator account receives an unexpected role in an agreed exercise.
Expected signal 01
Identity audit event
The role change is recorded with actor, target and timestamp.
Expected signal 02
Detection alert
The relevant rule creates an alert with enough context for triage.
Expected signal 03
Response record
The exercise owner records the triage decision and next action.
Recorded observations
0 of 3 in-scope signals observed
Observed
0
Gaps
0
Unreviewed
3
Out of scope
0
This describes the selections in your fictional worksheet. Unreviewed signals remain unknown.
Local notes only; 4,000 characters maximum. Describe the fictional evidence, gaps and next review step.