For security review
Security boundaryPrivacy policyTerms
Trust center
Trust should be easy to inspect.
This is the buyer-facing map for Redactorr's evidence: security boundary, browser-local redaction, accuracy measurement, AI workflow, Vault, and public policy surfaces.
Evidence indexPublic pages
01020304
Security boundary
PublishedHow Redactorr separates original source material, reviewed output, Vault, sharing, and AI context.
Accuracy method
MeasuredHow detection quality is reported through versioned runs, documents, entity counts, and reviewable evidence.
AI workflow
Reviewed firstHow AI context is prepared from reviewed redacted work rather than raw original document text.
Vault model
Processed outputHow saved sessions begin after review, so future work starts from processed redaction output.
What to verify
Claims point to a surface.
Each important promise links to the page that explains it: security, accuracy, privacy, AI workflow, or Vault.
Original valuesStay local during detection and redactionViewReviewed outputMoves only after the user reviews the resultViewAI contextPrepared from redacted context after reviewViewVaultStores processed redaction sessions and reusable outputViewAccuracyShown as measured evidence rather than unsupported claimsViewPrivacy termsDocumented in public policy surfacesView
Review pack
Different buyers need different proof.
Security, product, and accuracy reviewers need different evidence. Start with the review path that matches your team's question.
For product review
Free checkerAI workflowVault
For accuracy review
Accuracy methodologyLayer modelSupported formats
Need a walkthrough?
Bring your security questions.
We can walk through the redaction boundary, reviewed-output model, AI context flow, and the exact evidence your team needs before rollout.