Access boundary
Teams sign in before using workspace workflows. Admin controls stay tied to plan and implementation.
Redactorr is designed to reduce raw sensitive data movement: redact in the browser, review the result, then decide what reviewed output can move into Vault, sharing, or AI workflows.
Sensitive values are detected and masked before reviewed output moves into the next workflow.
Detection and redaction are designed around the browser tab so original values stay local during the redaction step.
Vault, sharing, and AI context start from reviewed redacted work, not the raw original document text.
The security model separates source material from reviewed output. That distinction is the product: raw values stay constrained while useful work can keep moving.
Redactorr keeps the core privacy promise simple, then wraps the reviewed output in access, sharing, review, and audit controls as the workflow expands.
Teams sign in before using workspace workflows. Admin controls stay tied to plan and implementation.
Shared work starts from reviewed redacted output, with controlled package and revocation patterns where enabled.
Review history should focus on actions, entity groups, decisions, and processed outputs.
AI workflows receive redacted context after review, not the raw original document text.
Security buyers need to see the product boundary quickly. This page should make it obvious which material is original, which output is reviewed, and when movement is a user decision.
Bring the source document into the browser.
Run local detection against supported formats.
Confirm grouped findings before output moves.
Use the reviewed redacted output in Vault, Share, or AI context.
For teams evaluating Redactorr, the right conversation is simple: what stays local, what moves after review, and which controls are required for your rollout.