FAQ

Find answers to common questions about using DataMaskPro.

General

What file formats are supported?

We currently support Parquet, CSV, JSON, Avro, and Feather file formats.

Is my data secure?

Yes, DataMaskPro uses state-of-the-art encryption and does not store your files.

Masking Options

What types of data can be masked?

DataMaskPro supports masking of various data types, including email addresses, phone numbers, credit card numbers, passwords, UUIDs, and more. Refer to the API Documentation for a full list of supported masking options.

Can I customize the masking options?

Yes, you can specify custom masking rules using the column_masking_options parameter in the API. For example, you can choose to mask email addresses, phone numbers, or any other supported data type in a file.

What happens if I don’t specify masking options?

If no masking options are provided, the system will attempt to automatically detect and mask sensitive data based on predefined rules.

How accurate is the auto-detection of columns to mask?

The auto-detection feature is highly accurate for common sensitive data types, such as email addresses, phone numbers, and credit card numbers. However, for specialized data, you may want to define your own masking options.

Technical

What happens if my file has errors?

If the file has errors, the system will notify you with the specific issues (e.g., missing headers, invalid JSON).

Can I integrate DataMaskPro with my applications?

Absolutely! Refer to our API Documentation for integration details.

How do I report a bug or request a feature?

You can contact our support team at support@datamaskpro.com.