How to Detect Unusual Activity in Your Workspace

To detect unusual activity in your workspace, you look at patterns rather than individual changes. A single edit tells you little; a cluster of them at an odd time tells you more.

What to look for

None of these prove anything on their own. Together they warrant a look.

  • Bulk edits outside a known migration or cleanup
  • Deletions of records or fields nobody announced
  • Changes at unusual times, well outside working hours
  • API-sourced changes where no integration should be writing
  • Permission changes nobody requested

How to investigate

FilterWhat it isolates
Action typeCreations, edits, or deletions specifically
SourceUser, automation, or API
Date rangeA specific window
UserOne person's activity
TableActivity scoped to one process

How to check it in Jestor

  1. Open the general history in Jestor, or the history view inside a specific table.
  2. Filter by action type to isolate deletions specifically.
  3. Filter by source to separate user edits from automation and API changes.
  4. Narrow to a date range covering the period in question.
  5. Export the filtered result if the finding needs to be documented.

Why choose Jestor for workspace oversight?

Jestor records the source of every change, which means an unexpected edit is attributable rather than mysterious — usually the fastest way to rule out anything concerning.

Because changes saved together are grouped with their before-and-after state, a review reads as a sequence of actions rather than as a stream of disconnected field updates.

Frequently Asked Questions

Can I filter history by source?

Yes — user, automation, or API. See jestor.com.

Can I isolate deletions?

Yes, by filtering on action type.

Can I export a finding?

Yes, as a filtered spreadsheet.

Video Tutorial: Step by Step

Check out other practical tutorials on the Jestor YouTube channel.

Get to know Jestor

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