Make actions accountable
Reduce secret exposure across execution
Protect stored connection material and remove registered secret values from execution output where Yekar.AI controls the path.
Keep connection secrets envelope-encrypted and scrub them from output.
What this changes for your team.
Connection credentials are envelope-encrypted at rest and registered with an execution-scoped scrubber when decrypted. The scrubber removes exact plaintext and common encoded variants from controlled output paths, while key-pattern and credential-shape redaction add coverage elsewhere. This is defense in depth, not a promise that arbitrary transformed secrets or every user-authored field can always be detected.
How it works in practice.
- 01
Encrypt each stored connection credential under its organization's data key.
- 02
Register decrypted secret values only for the execution scope that needs them.
- 03
Scrub registered values and recognized credential patterns before controlled logs, errors, and audit outputs are persisted or returned.
What you can plan around.
The behaviour you can design against, stated concretely.
Per-organization data keys are master-wrapped; credential APIs do not return stored plaintext.
The execution-scoped registry scrubs exact values plus base64, URL-encoded, and JSON-escaped variants above its minimum-length guard.
Key-based redaction is value-blind, and the shape scanner intentionally avoids aggressive guesses that would corrupt 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.
Bring one real process
See how Yekar.AI fits the way you work.
Start with a job your team already owns, plus the tools and decisions around it.
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