
A Fast, Secure Tool That Automatically Hides Sensitive Data from Your Files
Simplifies anonymization of company data for internal or external use while keeping full control over information security
myPAS Data Anonymizer protects confidential information by automatically identifying and masking personal or sensitive data in documents, databases, and reports. It allows companies to prepare datasets for analysis, sharing, or AI training without risking data privacy. The system ensures GDPR compliance, supports flexible anonymization levels, and works across different formats. As part of the PAS ecosystem, it integrates easily with other modules for processing, forecasting, or document management
An Intelligent Anonymization Process That Keeps Data Useful While Protecting Its Privacy
The system detects and anonymizes sensitive elements while preserving the structure and logic of your data
Data Input
imports files, documents, or databases containing personal information
AI Detection
automatically identifies names, IDs, addresses, and other sensitive fields
Anonymization Rules
applies predefined or custom masking logic
Verification
checks that all sensitive data is anonymized correctly
Output Export
delivers ready-to-use files for analytics or external sharing
Integration Layer
connects with PAS AI modules and ERP systems
Complete Data Privacy Solution That Simplifies Compliance and Security
Designed for organizations processing personal or confidential information daily
Detects and anonymizes sensitive data automatically
Maintains data structure and usability for analytics
Offers customizable anonymization depth and formats
Ensures GDPR and internal policy compliance
Integrates with PAS document and ERP systems
Available as a free or paid version depending on data sharing preference
For Organizations That Process, Share, or Analyze Sensitive Information
Built for companies where data privacy and compliance are critical
For banks protecting client information in shared reports
For IT teams securing internal documentation
For healthcare providers preparing anonymized patient data
For enterprises anonymizing data for AI training
For researchers handling confidential project datasets
For public institutions sharing regulated information safely
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