Bridging Gaps to Create an Efficient System

from promising to processing.


Analytical Summary

Egnyte created a system wherein when any file is uploaded, it detects the risk associated and provides the details of the same. We had to create a flow in that system and structure it. We filled in the gaps and helped them create one such efficient system to identify the files that are vulnerable to take the necessary precautions. We delivered them with a complete system they were looking for.    

Know our Client

Egnyte is a comprehensive platform combining governance and data-centric security. It monitors the content risks including, accidental data deletion, privacy compliance, etc., while providing businesses with the essential tools to work efficiently from anywhere.  

Note their Pain Points

Egnyte had the API, but they lacked the right source for processing the backend of their system, due to which they couldn’t integrate that API into the system in order to get the final result.   

Hear in their Solutions

Egnyte proposed to create an efficient system to classify the files uploaded based on their vulnerability or risk level.   

Discover our Specifics

Using AWS, we created a step function in their system wherein we defined various steps. The first step included the first and last name of the end-user, their company name, their email address, and the epoch time, which will be entered into our database. This step was termed Initialization. In the second step, we checked the number of files, processed them further, and differentiated the sensitive files from them. The content of the files is then checked against their policies to check if they match. If it matches, the files are rated accordingly. We received an email for the existence or non-existence of sensitive files and sent it to the customer.   

Along with the client’s API, we used the Lambda function and step function.


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