feat: add PII patterns (credit_card, ssn, phone) to normalized()#134
Open
feat: add PII patterns (credit_card, ssn, phone) to normalized()#134
Conversation
Add three new patterns to the normalized() function for PII redaction: - credit_card: Luhn-validated 13-19 digit sequences - ssn: US Social Security Numbers (XXX-XX-XXXX format) - phone: US and international phone number formats These patterns are opt-in (not in defaults) for safety. The credit_card pattern uses proper Luhn checksum validation to avoid false positives. https://claude.ai/code/session_01283SYUq6JCwa8ZApPPtYSK
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
2 participants
Add this suggestion to a batch that can be applied as a single commit.This suggestion is invalid because no changes were made to the code.Suggestions cannot be applied while the pull request is closed.Suggestions cannot be applied while viewing a subset of changes.Only one suggestion per line can be applied in a batch.Add this suggestion to a batch that can be applied as a single commit.Applying suggestions on deleted lines is not supported.You must change the existing code in this line in order to create a valid suggestion.Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be applied on multi-line comments.Suggestions cannot be applied while the pull request is queued to merge.Suggestion cannot be applied right now. Please check back later.
Add three new patterns to the normalized() function for PII redaction:
These patterns are opt-in (not in defaults) for safety. The credit_card
pattern uses proper Luhn checksum validation to avoid false positives.
https://claude.ai/code/session_01283SYUq6JCwa8ZApPPtYSK