Remove PII Before Using LLMs
How to prepare sensitive text safely before using AI systems
What Is PII?
This includes any information that can identify a person directly or indirectly.
Common examples of PII include:
- full names
- email addresses
- phone numbers
- home addresses
- passport or ID numbers
- customer IDs
- IBANs and bank details
- medical information
- support tickets containing personal data
- internal business information linked to individuals
In many real-world documents, multiple types of PII appear together.
Why PII Matters When Using LLMs
- summarizing documents
- rewriting emails
- analyzing support requests
- extracting information
- translation
- research
- draft generation
- coding assistance
To use these systems, people often paste raw text directly into AI chatbots or generative AI platforms.
The problem is that these texts frequently contain sensitive personal or confidential information.
Users may unintentionally share private data, customer information, patient details, internal documents or legally protected information with external AI systems.
Examples of Sensitive Data Inside LLM Prompts
- customer conversations
- medical records
- contracts
- support tickets
- employee communication
- legal documents
- financial data
- research material
- private messages
Even seemingly harmless text may contain hidden identifiers that can expose individuals or confidential business information.
A Safer Workflow Before Using AI
A safer workflow before using LLMs is:
- Detect sensitive information automatically
- Redact, anonymize or pseudonymize the text
- Use the cleaned version with AI systems
- Restore pseudonymized placeholders locally afterwards if needed
This helps reduce privacy, security and compliance risks while still keeping the text useful for AI-assisted tasks.
Example
Original Text
Customer Sarah Johnson from London contacted support regarding account AC-48372.
Her email is [email protected] and her phone number is +44 7700 900123.
Pseudonymized Version
Customer [PERSON_1] from [LOCATION_1] contacted support regarding account [SECRET_1].
Her email is [EMAIL_1] and her phone number is [PHONE_1].
The important context remains intact while personally identifiable information is removed.
Why Local PII Removal Matters
For sensitive data, this can itself create privacy or compliance concerns.
Redaxa works locally on your own PC.
No cloud processing. No external AI required. No document uploads.
This makes Redaxa suitable for:
- GDPR-sensitive workflows
- legal and healthcare environments
- research institutions
- business communication
- users working with confidential documents
- preparing text before using LLMs or AI assistants
Prepare Text Safely Before Using AI
- detect PII automatically
- highlight sensitive information
- redact personal data
- anonymize or pseudonymize text
- prepare prompts safely before using AI systems
The application works locally and supports multiple languages.