How should automated activity be distinguished from human action?¶

Identify the mechanism and trigger, then correlate process, session and behavioural evidence. Regular timing may suggest automation, but no single pattern or account field reliably proves the cause.

Technical context often reveals the mechanism¶

Scheduled tasks, service identities, APIs, scripts, synchronisation agents and background processes leave different records. Process ancestry and command lines can show software launching the action; task definitions or API client IDs can explain why and under whose permissions it ran.

Interactive activity may be accompanied by session creation, interface navigation, confirmation prompts or foreground application events. Automation may continue without a logged-in user or repeat a request structure exactly. Either category can imitate the other.

Compare the disputed event with known behaviour¶

Establish what normally generates the event and whether manual and automatic routes both exist. Preserve task, process, request, token and session identifiers and compare the pattern with ordinary runs from the same system.

If evidence supports a software trigger, distinguish who configured it from what it later did. If both human and automated routes remain plausible, report that limit rather than treating timing regularity as attribution.