Identify and mask (Auto-detect)

This method automatically identifies and masks personal/sensitive data within specific sentences.

Note: To send a request with the authentication token, include the following in headers:

Headers: {"Authorization": "Bearer <AUTH_TOKEN>"}


Request Method: PUT

Request Payload: eg :

{"mask": [{ "value": “George Williams lives in Washington”}]}


· value (string): Sensitive data value that needs to be masked.


{"data": [{"value": " George Williams lives in Washington“, "token_value”: “243 3466 lives in eweww”}]}

Response Parameters:

· token_value (string): Generated token replacing the sensitive data.


This approach is particularly useful when users may not be aware of all the sensitive data present in a given text or when dealing with large volumes of data where manual identification is impractical. Auto-detect masking offers the following advantages:

  1. Effortless Sensitive Data Identification: Users do not need to manually identify and specify sensitive data elements within the text. The system automatically detects patterns and formats indicative of sensitive information, such as names, phone numbers, credit card numbers, and more.

  2. Comprehensive Data Protection: Auto-detect masking ensures that all instances of sensitive data within a dataset are masked, providing a comprehensive approach to data security. This is especially valuable for scenarios where users may not be aware of all the potential data types that need protection

  3. Reduced Human Error: Automated detection reduces the risk of human errors that can occur during manual identification and specification of sensitive data. It enhances accuracy and consistency in data protection processes.

  4. Time and Resource Savings: Auto-detect masking saves time and effort, particularly when dealing with large amounts of data. Users do not need to spend time identifying each instance of sensitive data, allowing them to focus on other tasks.

Last updated