Secure AI Integration with Data Guard

Unlock the power of Large Language Models without compromising privacy.
Advanced Anonymization for EdTech and Healthcare.

Anonymization

Smart Anonymization

Context-aware replacement of sensitive terms.

Masking

Data Masking

Irreversible masking for maximum security.

Co-Reference

Entity Linking

Maintains context across de-identified documents.

The Privacy Challenge 🔒

Organizations hesitate to adopt LLMs due to the risk of exposing sensitive data like names, addresses, and medical records. Mysoly Data Guard acts as an intelligent shield, ensuring no raw PII ever reaches external models.

Tailored for Critical Sectors

🎓 EdTech Security

Protecting the future generation's data integrity.

  • Student Identity: Anonymize names, IDs, and contact info automatically.
  • Safe Learning: Allow usage of AI tutors without risking data leaks.
  • Institutional Compliance: Meet strict educational data protection standards.

🏥 Healthcare Privacy (NL)

GDPR & NEN 7510 compliant protection for patient dossiers.

  • Standards: Compliant with NEN 7510, FHIR, and ZIB standards.
  • Security: Aligned with NIS2 directive and NCSC-NL guidelines.
  • Patient Anonymity: Redact names, dates, and medical identifiers in real-time.

Comprehensive PII Coverage

👤

Personal Bio

  • Full Names
  • Phone Numbers
  • Email Addresses
  • Social Security IDs
📍

Location & Finance

  • Physical Addresses
  • IBAN / Bank Details
  • Credit Card Numbers
  • Zip Codes
🔐

Sensitive Data

  • Medical Record IDs
  • License Plates
  • IP Addresses
  • Dates & Times