Update the baseline, or hide an incident?
Course · Part 3 · Part 3 exercises · Notebook · Example bank
Self-study after Part 3 · slide 56 · optional comparison. The lecture explains drift on its timeline. The normal workload can change, and an unreviewed update can absorb malicious behaviour into the reference. See both mechanisms on a time-ordered plot.
Enable JavaScript to run the local experiment. Follow the worked cases below if the demo is unavailable.
Teaching steps: predict, do, observe, explain
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Choose Approved workload move and Original approved office history. Read the time and MB/min axes; predict false alarms.
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Keep the observed window fixed; choose Reviewed post-migration history. Explain the change in false alarms, not just the quieter plot.
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Keep that reviewed baseline; choose Same workload + two theft events. Identify the two high-volume events and alert rings.
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Keep the incident fixed; accept it as normal. Explain the missed thefts and who should authorise an independent reference update.
The in-demo step controls move between instructions. They never perform the next experiment for you. Record one observation before moving on.
Predict, try, explain
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Select Approved workload move, keeping the Original approved office history. All eight authored benign events now look unusual. Explain which assumption changed.
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Keep the event window fixed and select Reviewed post-migration history. Compare false alarms. Now select Same workload + two theft events while keeping that reviewed baseline.
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Keep the incident window fixed. Choose Accept the incident window as normal. Inspect missed thefts. Discuss who can approve a new reference and which evidence should remain independent.
Record: I changed ___. I predicted ___. I observed ___. This does not establish ___.
More experiments
Compare each observed window against each baseline. Explain why fewer alarms may mean either a relevant new reference or a hidden incident. Propose a reviewed, versioned update and a rollback observation.
What this example establishes
The reviewed migration baseline removes the eight migration false alarms and flags both high-volume thefts. Accepting the incident window itself as normal misses both thefts. Real monitoring needs representative data and reliable outcomes, not simply a quiet dashboard.
Explain it to your partner
Question: Alerts disappear after accepting the incident window as normal. What would distinguish adaptation from concealment?
Take 30 seconds each: point to the input, name the one change, then cite an observation from your run. A useful explanation: A reviewed baseline needs independent outcome and label evidence. A quieter chart alone does not establish a safer detector.
Read next: Concept and research connection. The reading is optional; you do not need its mathematics for this exercise.