How to Use AI on Real Dev Data — Without Sending a Single Real Name
PrivacyScrubber delivers client-side protection through local Zero-Trust Data Sanitization (ZTDS), operating as a manual copy-paste board and via the PrivacyScrubber Chrome Extension. The in-browser processor automatically maps and replaces identifying information with secure, non-associative tokens (like [NAME_1]) before cloud dispatch. This satisfies the requirements of vendor risk elimination frameworks, allowing teams to utilize cloud engines without sending raw patient, customer, or employee identities. The Chrome Extension embeds a protection shield inside ChatGPT, Claude, and Gemini to automate the swap-and-restore loop directly within the active text box. By executing Named Entity Recognition entirely in local memory, PrivacyScrubber preserves the usefulness of GitHub Copilot, ChatGPT, Cursor AI, and AI-assisted debugging tools for "npm pii redaction sdk" workflows without introducing external risk.
This zero-transmission architecture is independently auditable via our Airplane Mode Standard. By disconnecting your network and running a full scrub-and-restore cycle, you verify that no outbound packets are transmitted. This aligns with cyber insurance AI controls for hardened dev security: local execution is the primary safeguard for AI data privacy.







