GDPR Anonymizer Agent

The GDPR Anonymizer provides comprehensive protection for personal and sensitive data through multiple anonymization methods. It ensures GDPR compliance while maintaining data utility for analysis and processing.

GDPR Anonymizer component interface and configuration

Privacy Notice: Ensure proper configuration of anonymization rules to maintain GDPR compliance. Regular audits of anonymization patterns are recommended to adapt to changing regulations.

Component Inputs

Input Text: The text content to be processed for anonymization
Example: "Contact John Doe at john.doe@example.com or call at +1-555-123-4567"
Anonymize Action: The method of anonymization to apply
Options: replace, mask, redact, hash
Entities to Detect: Specific types of personal information to anonymize
Example: PHONE_NUMBER, EMAIL_ADDRESS, PERSON_NAME, ADDRESS, CREDIT_CARD

Component Outputs

Anonymized Output: The processed text with personal data anonymized
Example: "Contact [REDACTED] at [EMAIL_ADDRESS] or call at [PHONE_NUMBER]"
Safety Status: Indication of whether the anonymization was successful
Values: Safe, Unsafe, Warning
Risk Score: Numerical evaluation of remaining privacy risk
Scale: 0.0 (no risk) to 1.0 (high risk)

Anonymization Actions

Replace

Substitutes personal identifiers with fictional but plausible alternatives

Input: John Doe
Output: James Smith

Mask

Replaces portions of the text with asterisks or other symbols

Input: 123-456-7890
Output: ***-***-7890

Redact

Completely removes the personal information and replaces it with a placeholder

Input: 123-45-6789
Output: [REDACTED]

Hash

Applies a one-way transformation to identifiable information

Input: john.doe@email.com
Output: 5e8ff9bf55ba3508199d22e984129be6

Protected Entities

Personal Data

PERSON_NAME
EMAIL_ADDRESS
PHONE_NUMBER
SSN
CREDIT_CARD
PASSPORT_NUMBER

Location Data

ADDRESS
ZIPCODE
GPS_COORDINATES
IP_ADDRESS
COUNTRY_CODE

Use Cases

Customer Support: Anonymize chat logs and support tickets before storing or analysis
Healthcare: Process patient information while maintaining HIPAA compliance
Financial Services: Handle transaction data while protecting account details
HR Systems: Manage employee records while complying with privacy regulations
Data Sharing: Prepare datasets for third-party analytics while protecting PII

Implementation Example

const anonymizer = new GDPRAnonymizer({
  action: 'replace',
  entities: ['EMAIL_ADDRESS', 'PHONE_NUMBER', 'PERSON_NAME'],
  consistency: true,
  language: 'en'
});

const inputText = "Contact John Doe at john.doe@email.com or +1-555-123-4567";
const result = anonymizer.process(inputText);

// Output: "Contact James Smith at anonymous@example.com or +1-555-XXX-XXXX"
// Safety Status: Safe
// Risk Score: 0.05

Useful Resources

Best Practices

Set the appropriate anonymization action based on your specific compliance requirements
Regularly update entity detection patterns to address evolving personal data formats
Combine with other security agents for comprehensive data protection
Test with sample data to verify anonymization effectiveness before processing sensitive information
Maintain audit logs of anonymization activities for compliance documentation

Documentation