AI & data privacy
How your data is (and isn’t) used by Kepler’s AI features.
The short version
- Kepler processes workspace data to provide the AI feature you asked for — parsing structures your database; matching ranks your candidates against your jobs; the Assistant answers from your records.
- Access controls apply — AI never becomes a side-channel around your sharing settings.
- For current subprocessors, retention, training-use and compliance details, contact your workspace administrator or Kepler support.
How processing works
When an AI feature runs, the relevant content (a CV, an email, a transcript) is processed to produce its output — structured fields, a match verdict, minutes, a proposal — and the output is stored in your workspace like any other data you created. Processing is workspace-scoped: nothing from your workspace informs results in anyone else's.
Visibility is respected
AI features inherit your access rules. Insights derived from restricted mail (see Email privacy & sharing) are only shown to people allowed to see that mail; AI never becomes a side-channel around sharing settings. The Assistant answers only from records you could open yourself.
Control and audit
- AI-suggested changes are shown in Notifications before they are applied.
- Suggested updates can target centrally supported built-in fields and custom columns configured to read from source content.
- Users with permission to delete activities can permanently remove a meeting's recording, transcript and minutes using Delete meeting data.
- Candidate data handling — access, export and erasure — is covered in Security & compliance.