You are free to enter the data of your choice. Simply delete the existing pre-populated text, and enter your own custom data of maximum of 250 characters.

Note: The data that you enter is being stored in our engine. Please do not enter any actual data. Mage is not responsible for any sensitive data leakage arising due to this.

Mage Discovery uses our patented pathway approach to find sensitive data in your data sources. Mage Pathways are a configurable sequence of techniques used to discover sensitive data, including data dictionary matching, pattern matching, pattern validations, data matching, and natural language processing. On the basis of the Pathway analysis, each potentially sensitive data location is assigned a Total Score that defines the degree of confidence of the finding. If the Total Score is greater than or equal to a pre-defined Threshold Score, then the data is deemed as “Sensitive”.

This demo uses a beta version of our brand new Natural Language Processing (NLP) engine. We are continuously evolving our NLP models, to improve accuracy and performance. On deployment, the discovery configuration and models will be adjusted to your dataset to generate accurate results.

For purposes of this demo, only the following data classifications have been configured:

US Social Security Number, Credit Card Information, Address, Phone, Email Addresses, Nationality, Religion, Country, City, Name, Company Name, Date, and URL.

This demo is designed to showcase the capability of the Mage solution to identify sensitive data and protect it using appropriate de-identification mechanisms.

To learn more about our Discovery and Masking solutions, download our datasheets from the link given below.

Sensitive Data Discovery – iDiscover™ Data Sheet
Dynamic Data Masking – iMask™ Data Sheet

You can book a demo here. We will get in touch with you as soon as possible to provide a customized demo based on your requirements and use cases. arising due to this.