Mysoly Data Guard API

🔒 How can we ensure privacy and security when using Large Language Models (LLMs)?

Many organizations are hesitant to use LLMs due to privacy concerns, as sensitive information like bank accounts, addresses, and names are transmitted directly to the models. This poses significant security risks and leads institutions to either avoid LLMs or bear the high costs of on-premise installations.

Data Privacy in EdTech

🔒 Protecting Student Data:
Educational platforms handle sensitive personal information, like student IDs and contact details. Any data breach could lead to identity theft or misuse, putting student safety and trust at risk.
🏫 Institutional Concerns:
Language schools and educational institutions are responsible for securing data to maintain trust, avoid legal challenges, and protect their reputation from potential security breaches.

PII Capabilities

Mysoly Data Guard API is equipped to handle a wide range of Personally Identifiable Information (PII), ensuring your data remains private and secure. Explore the categories below:

Personal Information

Personal Names
Locations
Organisations
Phone Numbers
Email Addresses

Address and Identification

Full Address
Zip Codes
IBAN
BSN Number
Credit Card Numbers

Other Sensitive Data

License Plates
Website URLs
Dates

Explore Our Features

Anonymization

Replace sensitive data with anonymous identifiers.

Masking

Obscure critical information with data masking techniques.

Co-Reference

Identify and link related entities across your data.