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Maya FileSafe : Anonymize Personal & Sensitive Data in PDFs, Word, Excel, CSV, XML, JSON & More

par MAYA Data Privacy

Essai gratuit

Anonymize Personal & Sensitive Data in PDFs, Word, Excel, CSV, XML, JSON & More

Organizations in Financial Services, Healthcare, Pharma, Retail, Public Sector and Utilities handle large volumes of personal information across dozens of file types — from spreadsheets and PDFs to medical imaging and structured data feeds. Every copy, every share, every handoff is a potential exposure point.

Maya FileSafe automatically detects, classifies and anonymizes PII and sensitive data across all major file formats — CSV, XLSX, PDF, Word, XML, JSON, DICOM (medical imaging) and more — so organizations can use, share and analyze their data without exposing the individuals behind it.

Key Benefits

  • Multi-format coverage: Automated discovery and anonymization of personal and sensitive data across structured files (CSV, XLSX, XML, JSON) and unstructured documents (PDF, Word, DICOM and more).
  • Risk elimination: Anonymize PII before sharing data for analytics, research, AI training or third-party processing — reducing the financial impact of a potential breach.
  • Compliance support: Supports alignment with GDPR, HIPAA Safe Harbor, CCPA/CPRA and sector-specific regulations.
  • Cost reduction: Reduces compliance-related governance, audit and insurance costs by removing sensitive data at source.

Use Cases

  • Data sharing for analytics and business insights
  • Generation of privacy-safe test and development data
  • Selective data sharing with research organizations
  • Preparing training datasets for AI and ML programs
  • Third-party and cross-border data sharing
  • Offshoring data processing to other geographies
  • Regulatory reporting with anonymized patient, customer or citizen records

Vue d’ensemble

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