Make actions accountable
Reduce secret exposure across execution
Protect saved credentials and remove known secret values from output handled by Yekar.AI.
Encrypt saved credentials and hide known secrets from output.
What this changes for your team.
Saved connection credentials are encrypted. When an agent uses them, Yekar.AI hides the known values and common encoded forms from output it handles. It also checks for recognizable credential fields and patterns. These checks cannot detect every rewritten or split secret, so keep credentials out of instructions and other content.
How it works in practice.
- 01
Encrypt saved credentials with a key specific to the organization.
- 02
Use the credentials only for the work that needs them.
- 03
Hide known credentials before saving or showing logs, errors, and audit records.
What you can plan around.
What to expect, including limits that matter to your team.
Organization encryption keys are themselves encrypted. Saved credentials cannot be read back through the API.
Output filtering detects known credentials and common encoded forms that meet its minimum length requirement.
Checks also hide values in recognized credential fields while avoiding broad guesses that could remove ordinary content.
A provider could transform or split a secret into an unrecognized form, so operators must still avoid placing credentials in agent-authored content.
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Start with a job your team already owns, plus the tools and decisions around it.
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