See how organizations are using PrivacyBridge to secure their workflows.
Unlocking the power of Claude, GPT, and other Cloud LLMs for sensitive business data.
Employees want to use LLMs to summarize contracts or analyze reports, but company policy forbids uploading Client PII to public clouds.
Employees drop the file into PrivacyBridge first. We detect and replace PII with context-aware placeholders (e.g., <CLIENT_NAME>). The anonymized text is safe to paste into ChatGPT.
The AI understands the document structure perfectly because we use meaningful placeholders, not black bars. The risk of data leakage is eliminated at the source.
Speeding up the discovery process while protecting privilege.
Law firms need to share discovery documents with opposing counsel but must redact privileges and unrelated third-party PII. Manual marker pens are slow and error-prone.
PrivacyBridge scans thousands of pages for names, dates, and locations. The "Interactive Review" lets paralegals quickly verify the list, correcting any misses before export.
Hours of manual review are reduced to minutes. The "Sanitized Markdown" export also ensures no hidden metadata or version history is accidentally handed over.
Creating a fairer recruitment process by removing unconscious bias triggers.
Hiring managers can be unconsciously influenced by a candidate's name, gender, or origin address on a resume.
HR teams run CVs through PrivacyBridge to strip Names, Locations, and Dates, creating a "Blind Resume" that focuses purely on skills and experience.
Safely sharing datasets for research or software testing.
Developers and researchers need realistic data to test code or train models, but using real customer data is a GDPR violation.
PrivacyBridge can pseudonymize entire folders of documents, maintaining referential integrity (e.g., "John Doe" becomes "Person_A" consistently across all files). This creates safe, realistic test data.
Download the beta and see how PrivacyBridge fits your workflow.